随机性检测工具 GM/T 00005-2021

原创 已于 2025-04-23 11:40:41 修改 · 1.6k 阅读 · 5 ·
CC 4.0 BY-SA版权
本文为 zweib 原创文章，未经博主允许不得转载。
文章标签：

#算法 #网络安全

于 2022-10-04 15:12:25 首次发布

工具截图
下载RandTest.exe

测试数据：

1. e百万比特

参数:
 1 C1
 2 C2: 10000
 3 C3: 4
 4 C3: 8
 5 C4 1: 3
 6 C4 2: 3
 7 C4 1: 5
 8 C4 2: 5
 9 C5
10 C6
11 C7 1
12 C7 0
13 C8: 3
14 C8: 7
15 C9: 1
16 C9: 2
17 C9: 8
18 C9: 16
19 C10
20 C11 FORWARD
21 C11 REVERSE
22 C12: 2
23 C12: 5
24 C13: 500
25 C13: 1000
26 C14
27 C15
测试项数: 27
--------------------------------------------------------------------------------
FILE = data.e    ALPHA = 0.0100    ALPHAT = 0.0001
BITSREAD = 1000000 0s = 499971 1s = 500029
________________________________________________________________________________
        1 单比特频数检测  FREQUENCY TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) sum     = 58
        (b) V       = 0.058000
        ---------------------------------------------
通过    p_value = 0.953749  q_value = 0.476874
________________________________________________________________________________
        2 块内频数检测  BLOCK FREQUENCY TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) V                = 93.032400
        (b) # of substrings  = 100
        (c) block length     = 10000
        (d) Note: 0 bits were discarded.
        ---------------------------------------------
通过    p_value = 0.676227  q_value = 0.676227
________________________________________________________________________________
        3 扑克检测  POKER TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) V           = 12.301312
        (b) # of substrings = 250000
        (c) block length    = 4
        (d) Note: 0 bits were discarded.
        ---------------------------------------------
通过    p_value = 0.656094  q_value = 0.656094
________________________________________________________________________________
        3 扑克检测  POKER TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) V           = 301.587968
        (b) # of substrings = 125000
        (c) block length    = 8
        (d) Note: 0 bits were discarded.
        ---------------------------------------------
通过    p_value = 0.023947  q_value = 0.023947
________________________________________________________________________________
        4 重叠子序列检测  SERIAL TEST
        ---------------------------------------------
         中间值:       
        ---------------------------------------------
        (a) Block length    (m) = 3
        (b) Sequence length (n) = 1000000
        (c) Psi_m               = 2.564416
        (d) Psi_m-1             = 0.343128
        (e) Psi_m-2             = 0.003364
        (f) Del_1               = 2.221288
        (g) Del_2               = 1.881524
        ---------------------------------------------
通过    p_value1 = 0.695134  q_value1 = 0.695134
通过    p_value2 = 0.390330  q_value2 = 0.390330
________________________________________________________________________________
        4 重叠子序列检测  SERIAL TEST
        ---------------------------------------------
         中间值:       
        ---------------------------------------------
        (a) Block length    (m) = 5
        (b) Sequence length (n) = 1000000
        (c) Psi_m               = 27.233920
        (d) Psi_m-1             = 7.356288
        (e) Psi_m-2             = 2.564416
        (f) Del_1               = 19.877632
        (g) Del_2               = 15.085760
        ---------------------------------------------
通过    p_value1 = 0.225783  q_value1 = 0.225783
通过    p_value2 = 0.057499  q_value2 = 0.057499
________________________________________________________________________________
        5 游程总数检测 RUNS TEST
        ------------------------------------------
        中间值:
        ------------------------------------------
        (a) Pi                        = 0.500029
        (b) V_n_obs (Total # of runs) = 499710
        (c) V_n_obs - 2 n pi (1-pi)
            -----------------------   = -0.579997
              2 sqrt(n) pi (1-pi)
        ------------------------------------------
通过    p_value = 0.561917  q_value = 0.719042
________________________________________________________________________________
        6 游程分布检测  RUNS DISTRIBUTION TEST
        ------------------------------------------
        中间值:
        (a) k = 15
        (b) T = 499710
        (c) V = 22.190166
        ------------------------------------------
通过    p_value = 0.772412  q_value = 0.772412
________________________________________________________________________________
        7 块内最大1游程检测  LONGEST RUNS OF ONES TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) N (# of substrings)  = 100
        (b) M (Substring Length) = 10000
        (c) Chi^2                = 3.691400
        ---------------------------------------------
              F R E Q U E N C Y
        ---------------------------------------------
        <=10  11  12  13  14  15 >=16 P-value  Assignment
          11  18  23  16  16   9    7 
通过    p_value = 0.718355  q_value = 0.718355
________________________________________________________________________________
        7 块内最大0游程检测  LONGEST RUNS OF ZEROS TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) N (# of substrings)  = 100
        (b) M (Substring Length) = 10000
        (c) Chi^2                = 5.870427
        ---------------------------------------------
              F R E Q U E N C Y
        ---------------------------------------------
        <=10  11  12  13  14  15 >=16 P-value  Assignment
           7  18  27  27  12   5    4 
通过    p_value = 0.437861  q_value = 0.437861
________________________________________________________________________________
        8 二元推导检测  BinaryDerivative TEST
        ------------------------------------------
        中间值:
        (a) k = 3
        (b) V = -0.811001
        ------------------------------------------
通过    p_value = 0.417365  q_value = 0.791318
________________________________________________________________________________
        8 二元推导检测  BinaryDerivative TEST
        ------------------------------------------
        中间值:
        (a) k = 7
        (b) V = -0.305001
        ------------------------------------------
通过    p_value = 0.760365  q_value = 0.619817
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 1
        (b) A = 499709
        (c) V = -0.581000
        ---------------------------------------------
通过    p_value = 0.561240  q_value = 0.719380
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 2
        (b) A = 500190
        (c) V = 0.382000
        ---------------------------------------------
通过    p_value = 0.702461  q_value = 0.351231
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 8
        (b) A = 500461
        (c) V = 0.930004
        ---------------------------------------------
通过    p_value = 0.352369  q_value = 0.176185
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 16
        (b) A = 499937
        (c) V = -0.110001
        ---------------------------------------------
通过    p_value = 0.912409  q_value = 0.543796
________________________________________________________________________________
        10 矩阵秩检测  RANK TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) Probability P_32 = 0.288800
        (b)             P_31 = 0.577600
        (c)             P_30 = 0.133600
        (d) Frequency   F_32 = 280
        (e)             F_31 = 581
        (f)             F_30 = 115
        (g) # of matrices    = 976
        (h) Chi^2            = 2.358278
        (i) NOTE: 576 BITS WERE DISCARDED.
        ---------------------------------------------
通过    p_value = 0.307543  q_value = 0.307543
________________________________________________________________________________
        11 前向累加和检测  CUMULATIVE SUMS (FORWARD) TEST
        -------------------------------------------
        中间值:
        -------------------------------------------
        (a) The maximum partial sum = 956
        -------------------------------------------
通过    p_value = 0.669886  q_value = 0.669886
________________________________________________________________________________
        11 后向累加和检测  CUMULATIVE SUMS (REVERSE) TEST
        -------------------------------------------
        中间值:
        -------------------------------------------
        (a) The maximum partial sum = 898
        -------------------------------------------
通过    p_value = 0.724265  q_value = 0.724265
________________________________________________________________________________
        12 近似熵检测  APPROXIMATE ENTROPY TEST
        --------------------------------------------
        中间值:
        --------------------------------------------
        (a) m (block length)    = 2
        (b) n (sequence length) = 1000000
        (c) Chi^2               = 2.221425
        (d) Phi(m)              = -1.386294
        (e) Phi(m+1)            = -2.079440
        (f) ApEn                = 0.693146
        (g) Log(2)              = 0.693147
        --------------------------------------------
通过    p_value = 0.695109  q_value = 0.695109
________________________________________________________________________________
        12 近似熵检测  APPROXIMATE ENTROPY TEST
        --------------------------------------------
        中间值:
        --------------------------------------------
        (a) m (block length)    = 5
        (b) n (sequence length) = 1000000
        (c) Chi^2               = 34.216936
        (d) Phi(m)              = -3.465722
        (e) Phi(m+1)            = -4.158852
        (f) ApEn                = 0.693130
        (g) Log(2)              = 0.693147
        --------------------------------------------
通过    p_value = 0.361688  q_value = 0.361688
________________________________________________________________________________
        13 线性复杂度检测  LINEAR COMPLEXITY
        -----------------------------------------------------
        M (substring length)     = 500
        N (number of substrings) = 2000
        Note: 0 bits were discarded!
        -----------------------------------------------------
                F R E Q U E N C Y                            
        -----------------------------------------------------
          C0   C1   C2   C3   C4   C5   C6          V   P-value   Q-value
        -----------------------------------------------------
          21   52  250 1006  492  135   44   2.860066  0.826194  0.826194
________________________________________________________________________________
        13 线性复杂度检测  LINEAR COMPLEXITY
        -----------------------------------------------------
        M (substring length)     = 1000
        N (number of substrings) = 1000
        Note: 0 bits were discarded!
        -----------------------------------------------------
                F R E Q U E N C Y                            
        -----------------------------------------------------
          C0   C1   C2   C3   C4   C5   C6          V   P-value   Q-value
        -----------------------------------------------------
          11   31  116  501  258   57   26   2.706147  0.844721  0.844721
________________________________________________________________________________
        14 Maurer通用统计检测  UNIVERSAL STATISTICAL TEST
        --------------------------------------------
        中间值:
        --------------------------------------------
        (a) L         = 7
        (b) Q         = 1280
        (c) K         = 141577
        (d) sum       = 877667.758407
        (e) sigma     = 0.002768
        (f) variance  = 3.125000
        (g) exp_value = 6.196251
        (h) V         = 1.074569
        (i) WARNING:  1 bits were discarded.
        -----------------------------------------
通过    p_value = 0.282568  q_value = 0.141284
________________________________________________________________________________
        15 离散傅立叶检测  DFT TEST
        -------------------------------------------
        中间值:
        -------------------------------------------
        (a) Percentile = 95.004200
        (b) N_l        = 475021.000000
        (c) N_o        = 475000.000000
        (d) V          = 0.187830
        -------------------------------------------
通过    p_value = 0.851010  q_value = 0.425505
--------------------------------------------------------------------------------
    No.       P         Q
test  1 ----------------------------------------
 1     0.953749, 0.476874
test  2 ----------------------------------------
 1     0.676227, 0.676227
test  3 ----------------------------------------
 1     0.656094, 0.656094
test  4 ----------------------------------------
 1     0.023947, 0.023947
test  5 ----------------------------------------
 1     0.695134, 0.695134
test  6 ----------------------------------------
 1     0.390330, 0.390330
test  7 ----------------------------------------
 1     0.225783, 0.225783
test  8 ----------------------------------------
 1     0.057499, 0.057499
test  9 ----------------------------------------
 1     0.561917, 0.719042
test 10 ----------------------------------------
 1     0.772412, 0.772412
test 11 ----------------------------------------
 1     0.718355, 0.718355
test 12 ----------------------------------------
 1     0.437861, 0.437861
test 13 ----------------------------------------
 1     0.417365, 0.791318
test 14 ----------------------------------------
 1     0.760365, 0.619817
test 15 ----------------------------------------
 1     0.561240, 0.719380
test 16 ----------------------------------------
 1     0.702461, 0.351231
test 17 ----------------------------------------
 1     0.352369, 0.176185
test 18 ----------------------------------------
 1     0.912409, 0.543796
test 19 ----------------------------------------
 1     0.307543, 0.307543
test 20 ----------------------------------------
 1     0.669886, 0.669886
test 21 ----------------------------------------
 1     0.724265, 0.724265
test 22 ----------------------------------------
 1     0.695109, 0.695109
test 23 ----------------------------------------
 1     0.361688, 0.361688
test 24 ----------------------------------------
 1     0.826194, 0.826194
test 25 ----------------------------------------
 1     0.844721, 0.844721
test 26 ----------------------------------------
 1     0.282568, 0.141284
test 27 ----------------------------------------
 1     0.851010, 0.425505
-------------------------------------------------
  0   0   0   0   1   0   0   0   0   0     ----       1/1        1
  0   0   0   0   0   0   1   0   0   0     ----       1/1        2
  0   0   0   0   0   0   1   0   0   0     ----       1/1        3
  1   0   0   0   0   0   0   0   0   0     ----       1/1        4
  0   0   0   0   0   0   1   0   0   0     ----       1/1        5
  0   0   0   1   0   0   0   0   0   0     ----       1/1        6
  0   0   1   0   0   0   0   0   0   0     ----       1/1        7
  1   0   0   0   0   0   0   0   0   0     ----       1/1        8
  0   0   0   0   0   0   0   1   0   0     ----       1/1        9
  0   0   0   0   0   0   0   1   0   0     ----       1/1       10
  0   0   0   0   0   0   0   1   0   0     ----       1/1       11
  0   0   0   0   1   0   0   0   0   0     ----       1/1       12
  0   0   0   0   0   0   0   1   0   0     ----       1/1       13
  0   0   0   0   0   0   1   0   0   0     ----       1/1       14
  0   0   0   0   0   0   0   1   0   0     ----       1/1       15
  0   0   0   1   0   0   0   0   0   0     ----       1/1       16
  0   1   0   0   0   0   0   0   0   0     ----       1/1       17
  0   0   0   0   0   1   0   0   0   0     ----       1/1       18
  0   0   0   1   0   0   0   0   0   0     ----       1/1       19
  0   0   0   0   0   0   1   0   0   0     ----       1/1       20
  0   0   0   0   0   0   0   1   0   0     ----       1/1       21
  0   0   0   0   0   0   1   0   0   0     ----       1/1       22
  0   0   0   1   0   0   0   0   0   0     ----       1/1       23
  0   0   0   0   0   0   0   0   1   0     ----       1/1       24
  0   0   0   0   0   0   0   0   1   0     ----       1/1       25
  0   1   0   0   0   0   0   0   0   0     ----       1/1       26
  0   0   0   0   1   0   0   0   0   0     ----       1/1       27
检测通过
用时 1579 ms

2. π百万比特

参数:
 1 C1
 2 C2: 10000
 3 C3: 4
 4 C3: 8
 5 C4 1: 3
 6 C4 2: 3
 7 C4 1: 5
 8 C4 2: 5
 9 C5
10 C6
11 C7 1
12 C7 0
13 C8: 3
14 C8: 7
15 C9: 1
16 C9: 2
17 C9: 8
18 C9: 16
19 C10
20 C11 FORWARD
21 C11 REVERSE
22 C12: 2
23 C12: 5
24 C13: 500
25 C13: 1000
26 C14
27 C15
测试项数: 27
--------------------------------------------------------------------------------
FILE = data.pi    ALPHA = 0.0100    ALPHAT = 0.0001
BITSREAD = 1000000 0s = 500278 1s = 499722
________________________________________________________________________________
        1 单比特频数检测  FREQUENCY TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) sum     = -556
        (b) V       = -0.556000
        ---------------------------------------------
通过    p_value = 0.578211  q_value = 0.710895
________________________________________________________________________________
        2 块内频数检测  BLOCK FREQUENCY TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) V                = 95.076000
        (b) # of substrings  = 100
        (c) block length     = 10000
        (d) Note: 0 bits were discarded.
        ---------------------------------------------
通过    p_value = 0.620466  q_value = 0.620466
________________________________________________________________________________
        3 扑克检测  POKER TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) V           = 19.492480
        (b) # of substrings = 250000
        (c) block length    = 4
        (d) Note: 0 bits were discarded.
        ---------------------------------------------
通过    p_value = 0.192278  q_value = 0.192278
________________________________________________________________________________
        3 扑克检测  POKER TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) V           = 249.470464
        (b) # of substrings = 125000
        (c) block length    = 8
        (d) Note: 0 bits were discarded.
        ---------------------------------------------
通过    p_value = 0.585921  q_value = 0.585921
________________________________________________________________________________
        4 重叠子序列检测  SERIAL TEST
        ---------------------------------------------
         中间值:       
        ---------------------------------------------
        (a) Block length    (m) = 3
        (b) Sequence length (n) = 1000000
        (c) Psi_m               = 3.901888
        (d) Psi_m-1             = 1.271136
        (e) Psi_m-2             = 0.309136
        (f) Del_1               = 2.630752
        (g) Del_2               = 1.668752
        ---------------------------------------------
通过    p_value1 = 0.621385  q_value1 = 0.621385
通过    p_value2 = 0.434145  q_value2 = 0.434145
________________________________________________________________________________
        4 重叠子序列检测  SERIAL TEST
        ---------------------------------------------
         中间值:       
        ---------------------------------------------
        (a) Block length    (m) = 5
        (b) Sequence length (n) = 1000000
        (c) Psi_m               = 24.732928
        (d) Psi_m-1             = 10.532864
        (e) Psi_m-2             = 3.901888
        (f) Del_1               = 14.200064
        (g) Del_2               = 7.569088
        ---------------------------------------------
通过    p_value1 = 0.583812  q_value1 = 0.583812
通过    p_value2 = 0.476652  q_value2 = 0.476652
________________________________________________________________________________
        5 游程总数检测 RUNS TEST
        ------------------------------------------
        中间值:
        ------------------------------------------
        (a) Pi                        = 0.499722
        (b) V_n_obs (Total # of runs) = 499596
        (c) V_n_obs - 2 n pi (1-pi)
            -----------------------   = -0.807691
              2 sqrt(n) pi (1-pi)
        ------------------------------------------
通过    p_value = 0.419268  q_value = 0.790366
________________________________________________________________________________
        6 游程分布检测  RUNS DISTRIBUTION TEST
        ------------------------------------------
        中间值:
        (a) k = 15
        (b) T = 499596
        (c) V = 27.560749
        ------------------------------------------
通过    p_value = 0.487896  q_value = 0.487896
________________________________________________________________________________
        7 块内最大1游程检测  LONGEST RUNS OF ONES TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) N (# of substrings)  = 100
        (b) M (Substring Length) = 10000
        (c) Chi^2                = 14.217932
        ---------------------------------------------
              F R E Q U E N C Y
        ---------------------------------------------
        <=10  11  12  13  14  15 >=16 P-value  Assignment
           8  12  25  20  14  15    6 
通过    p_value = 0.027294  q_value = 0.027294
________________________________________________________________________________
        7 块内最大0游程检测  LONGEST RUNS OF ZEROS TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) N (# of substrings)  = 100
        (b) M (Substring Length) = 10000
        (c) Chi^2                = 9.642566
        ---------------------------------------------
              F R E Q U E N C Y
        ---------------------------------------------
        <=10  11  12  13  14  15 >=16 P-value  Assignment
          11  13  24  21  18   3   10 
通过    p_value = 0.140534  q_value = 0.140534
________________________________________________________________________________
        8 二元推导检测  BinaryDerivative TEST
        ------------------------------------------
        中间值:
        (a) k = 3
        (b) V = -1.541002
        ------------------------------------------
通过    p_value = 0.123316  q_value = 0.938342
________________________________________________________________________________
        8 二元推导检测  BinaryDerivative TEST
        ------------------------------------------
        中间值:
        (a) k = 7
        (b) V = 1.195004
        ------------------------------------------
通过    p_value = 0.232085  q_value = 0.116043
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 1
        (b) A = 499595
        (c) V = -0.809000
        ---------------------------------------------
通过    p_value = 0.418515  q_value = 0.790743
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 2
        (b) A = 500607
        (c) V = 1.216001
        ---------------------------------------------
通过    p_value = 0.223984  q_value = 0.111992
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 8
        (b) A = 499885
        (c) V = -0.222001
        ---------------------------------------------
通过    p_value = 0.824313  q_value = 0.587843
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 16
        (b) A = 500331
        (c) V = 0.678005
        ---------------------------------------------
通过    p_value = 0.497768  q_value = 0.248884
________________________________________________________________________________
        10 矩阵秩检测  RANK TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) Probability P_32 = 0.288800
        (b)             P_31 = 0.577600
        (c)             P_30 = 0.133600
        (d) Frequency   F_32 = 312
        (e)             F_31 = 546
        (f)             F_30 = 118
        (g) # of matrices    = 976
        (h) Chi^2            = 4.957047
        (i) NOTE: 576 BITS WERE DISCARDED.
        ---------------------------------------------
通过    p_value = 0.083867  q_value = 0.083867
________________________________________________________________________________
        11 前向累加和检测  CUMULATIVE SUMS (FORWARD) TEST
        -------------------------------------------
        中间值:
        -------------------------------------------
        (a) The maximum partial sum = 1001
        -------------------------------------------
通过    p_value = 0.628308  q_value = 0.628308
________________________________________________________________________________
        11 后向累加和检测  CUMULATIVE SUMS (REVERSE) TEST
        -------------------------------------------
        中间值:
        -------------------------------------------
        (a) The maximum partial sum = 963
        -------------------------------------------
通过    p_value = 0.663369  q_value = 0.663369
________________________________________________________________________________
        12 近似熵检测  APPROXIMATE ENTROPY TEST
        --------------------------------------------
        中间值:
        --------------------------------------------
        (a) m (block length)    = 2
        (b) n (sequence length) = 1000000
        (c) Chi^2               = 2.632401
        (d) Phi(m)              = -1.386294
        (e) Phi(m+1)            = -2.079440
        (f) ApEn                = 0.693146
        (g) Log(2)              = 0.693147
        --------------------------------------------
通过    p_value = 0.621094  q_value = 0.621094
________________________________________________________________________________
        12 近似熵检测  APPROXIMATE ENTROPY TEST
        --------------------------------------------
        中间值:
        --------------------------------------------
        (a) m (block length)    = 5
        (b) n (sequence length) = 1000000
        (c) Chi^2               = 28.697970
        (d) Phi(m)              = -3.465724
        (e) Phi(m+1)            = -4.158856
        (f) ApEn                = 0.693133
        (g) Log(2)              = 0.693147
        --------------------------------------------
通过    p_value = 0.634457  q_value = 0.634457
________________________________________________________________________________
        13 线性复杂度检测  LINEAR COMPLEXITY
        -----------------------------------------------------
        M (substring length)     = 500
        N (number of substrings) = 2000
        Note: 0 bits were discarded!
        -----------------------------------------------------
                F R E Q U E N C Y                            
        -----------------------------------------------------
          C0   C1   C2   C3   C4   C5   C6          V   P-value   Q-value
        -----------------------------------------------------
          30   64  254  955  529  127   41   7.882263  0.246857  0.246857
________________________________________________________________________________
        13 线性复杂度检测  LINEAR COMPLEXITY
        -----------------------------------------------------
        M (substring length)     = 1000
        N (number of substrings) = 1000
        Note: 0 bits were discarded!
        -----------------------------------------------------
                F R E Q U E N C Y                            
        -----------------------------------------------------
          C0   C1   C2   C3   C4   C5   C6          V   P-value   Q-value
        -----------------------------------------------------
          13   27  126  496  276   41   21  11.359820  0.077872  0.077872
________________________________________________________________________________
        14 Maurer通用统计检测  UNIVERSAL STATISTICAL TEST
        --------------------------------------------
        中间值:
        --------------------------------------------
        (a) L         = 7
        (b) Q         = 1280
        (c) K         = 141577
        (d) sum       = 877079.026874
        (e) sigma     = 0.002768
        (f) variance  = 3.125000
        (g) exp_value = 6.196251
        (h) V         = -0.427504
        (i) WARNING:  1 bits were discarded.
        -----------------------------------------
通过    p_value = 0.669012  q_value = 0.665494
________________________________________________________________________________
        15 离散傅立叶检测  DFT TEST
        -------------------------------------------
        中间值:
        -------------------------------------------
        (a) Percentile = 95.056000
        (b) N_l        = 475280.000000
        (c) N_o        = 475000.000000
        (d) V          = 2.504396
        -------------------------------------------
通过    p_value = 0.012266  q_value = 0.006133
--------------------------------------------------------------------------------
    No.       P         Q
test  1 ----------------------------------------
 1     0.578211, 0.710895
test  2 ----------------------------------------
 1     0.620466, 0.620466
test  3 ----------------------------------------
 1     0.192278, 0.192278
test  4 ----------------------------------------
 1     0.585921, 0.585921
test  5 ----------------------------------------
 1     0.621385, 0.621385
test  6 ----------------------------------------
 1     0.434145, 0.434145
test  7 ----------------------------------------
 1     0.583812, 0.583812
test  8 ----------------------------------------
 1     0.476652, 0.476652
test  9 ----------------------------------------
 1     0.419268, 0.790366
test 10 ----------------------------------------
 1     0.487896, 0.487896
test 11 ----------------------------------------
 1     0.027294, 0.027294
test 12 ----------------------------------------
 1     0.140534, 0.140534
test 13 ----------------------------------------
 1     0.123316, 0.938342
test 14 ----------------------------------------
 1     0.232085, 0.116043
test 15 ----------------------------------------
 1     0.418515, 0.790743
test 16 ----------------------------------------
 1     0.223984, 0.111992
test 17 ----------------------------------------
 1     0.824313, 0.587843
test 18 ----------------------------------------
 1     0.497768, 0.248884
test 19 ----------------------------------------
 1     0.083867, 0.083867
test 20 ----------------------------------------
 1     0.628308, 0.628308
test 21 ----------------------------------------
 1     0.663369, 0.663369
test 22 ----------------------------------------
 1     0.621094, 0.621094
test 23 ----------------------------------------
 1     0.634457, 0.634457
test 24 ----------------------------------------
 1     0.246857, 0.246857
test 25 ----------------------------------------
 1     0.077872, 0.077872
test 26 ----------------------------------------
 1     0.669012, 0.665494
test 27 ----------------------------------------
 1     0.012266, 0.006133
-------------------------------------------------
  0   0   0   0   0   0   0   1   0   0     ----       1/1        1
  0   0   0   0   0   0   1   0   0   0     ----       1/1        2
  0   1   0   0   0   0   0   0   0   0     ----       1/1        3
  0   0   0   0   0   1   0   0   0   0     ----       1/1        4
  0   0   0   0   0   0   1   0   0   0     ----       1/1        5
  0   0   0   0   1   0   0   0   0   0     ----       1/1        6
  0   0   0   0   0   1   0   0   0   0     ----       1/1        7
  0   0   0   0   1   0   0   0   0   0     ----       1/1        8
  0   0   0   0   0   0   0   1   0   0     ----       1/1        9
  0   0   0   0   1   0   0   0   0   0     ----       1/1       10
  1   0   0   0   0   0   0   0   0   0     ----       1/1       11
  0   1   0   0   0   0   0   0   0   0     ----       1/1       12
  0   0   0   0   0   0   0   0   0   1     ----       1/1       13
  0   1   0   0   0   0   0   0   0   0     ----       1/1       14
  0   0   0   0   0   0   0   1   0   0     ----       1/1       15
  0   1   0   0   0   0   0   0   0   0     ----       1/1       16
  0   0   0   0   0   1   0   0   0   0     ----       1/1       17
  0   0   1   0   0   0   0   0   0   0     ----       1/1       18
  1   0   0   0   0   0   0   0   0   0     ----       1/1       19
  0   0   0   0   0   0   1   0   0   0     ----       1/1       20
  0   0   0   0   0   0   1   0   0   0     ----       1/1       21
  0   0   0   0   0   0   1   0   0   0     ----       1/1       22
  0   0   0   0   0   0   1   0   0   0     ----       1/1       23
  0   0   1   0   0   0   0   0   0   0     ----       1/1       24
  1   0   0   0   0   0   0   0   0   0     ----       1/1       25
  0   0   0   0   0   0   1   0   0   0     ----       1/1       26
  1   0   0   0   0   0   0   0   0   0     ----       1/1       27
检测通过
用时 1625 ms

3. 2 \sqrt{2} 2 ​ 百万比特

参数:
 1 C1
 2 C2: 10000
 3 C3: 4
 4 C3: 8
 5 C4 1: 3
 6 C4 2: 3
 7 C4 1: 5
 8 C4 2: 5
 9 C5
10 C6
11 C7 1
12 C7 0
13 C8: 3
14 C8: 7
15 C9: 1
16 C9: 2
17 C9: 8
18 C9: 16
19 C10
20 C11 FORWARD
21 C11 REVERSE
22 C12: 2
23 C12: 5
24 C13: 500
25 C13: 1000
26 C14
27 C15
测试项数: 27
--------------------------------------------------------------------------------
FILE = data.sqrt2    ALPHA = 0.0100    ALPHAT = 0.0001
BITSREAD = 1000000 0s = 500119 1s = 499881
________________________________________________________________________________
        1 单比特频数检测  FREQUENCY TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) sum     = -238
        (b) V       = -0.238000
        ---------------------------------------------
通过    p_value = 0.811881  q_value = 0.594059
________________________________________________________________________________
        2 块内频数检测  BLOCK FREQUENCY TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) V                = 110.931600
        (b) # of substrings  = 100
        (c) block length     = 10000
        (d) Note: 0 bits were discarded.
        ---------------------------------------------
通过    p_value = 0.213821  q_value = 0.213821
________________________________________________________________________________
        3 扑克检测  POKER TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) V           = 20.017920
        (b) # of substrings = 250000
        (c) block length    = 4
        (d) Note: 0 bits were discarded.
        ---------------------------------------------
通过    p_value = 0.171246  q_value = 0.171246
________________________________________________________________________________
        3 扑克检测  POKER TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) V           = 245.222912
        (b) # of substrings = 125000
        (c) block length    = 8
        (d) Note: 0 bits were discarded.
        ---------------------------------------------
通过    p_value = 0.658721  q_value = 0.658721
________________________________________________________________________________
        4 重叠子序列检测  SERIAL TEST
        ---------------------------------------------
         中间值:       
        ---------------------------------------------
        (a) Block length    (m) = 3
        (b) Sequence length (n) = 1000000
        (c) Psi_m               = 4.421408
        (d) Psi_m-1             = 1.129352
        (e) Psi_m-2             = 0.056644
        (f) Del_1               = 3.292056
        (g) Del_2               = 2.219348
        ---------------------------------------------
通过    p_value1 = 0.510192  q_value1 = 0.510192
通过    p_value2 = 0.329666  q_value2 = 0.329666
________________________________________________________________________________
        4 重叠子序列检测  SERIAL TEST
        ---------------------------------------------
         中间值:       
        ---------------------------------------------
        (a) Block length    (m) = 5
        (b) Sequence length (n) = 1000000
        (c) Psi_m               = 19.632448
        (d) Psi_m-1             = 9.773984
        (e) Psi_m-2             = 4.421408
        (f) Del_1               = 9.858464
        (g) Del_2               = 4.505888
        ---------------------------------------------
通过    p_value1 = 0.873914  q_value1 = 0.873914
通过    p_value2 = 0.808844  q_value2 = 0.808844
________________________________________________________________________________
        5 游程总数检测 RUNS TEST
        ------------------------------------------
        中间值:
        ------------------------------------------
        (a) Pi                        = 0.499881
        (b) V_n_obs (Total # of runs) = 500504
        (c) V_n_obs - 2 n pi (1-pi)
            -----------------------   = 1.008057
              2 sqrt(n) pi (1-pi)
        ------------------------------------------
通过    p_value = 0.313427  q_value = 0.156714
________________________________________________________________________________
        6 游程分布检测  RUNS DISTRIBUTION TEST
        ------------------------------------------
        中间值:
        (a) k = 15
        (b) T = 500504
        (c) V = 32.015177
        ------------------------------------------
通过    p_value = 0.273894  q_value = 0.273894
________________________________________________________________________________
        7 块内最大1游程检测  LONGEST RUNS OF ONES TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) N (# of substrings)  = 100
        (b) M (Substring Length) = 10000
        (c) Chi^2                = 16.053094
        ---------------------------------------------
              F R E Q U E N C Y
        ---------------------------------------------
        <=10  11  12  13  14  15 >=16 P-value  Assignment
           6  16  33  18   4  10   13 
通过    p_value = 0.013472  q_value = 0.013472
________________________________________________________________________________
        7 块内最大0游程检测  LONGEST RUNS OF ZEROS TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) N (# of substrings)  = 100
        (b) M (Substring Length) = 10000
        (c) Chi^2                = 8.971008
        ---------------------------------------------
              F R E Q U E N C Y
        ---------------------------------------------
        <=10  11  12  13  14  15 >=16 P-value  Assignment
          15  23  17  22  13   5    5 
通过    p_value = 0.175215  q_value = 0.175215
________________________________________________________________________________
        8 二元推导检测  BinaryDerivative TEST
        ------------------------------------------
        中间值:
        (a) k = 3
        (b) V = 0.703001
        ------------------------------------------
通过    p_value = 0.482055  q_value = 0.241028
________________________________________________________________________________
        8 二元推导检测  BinaryDerivative TEST
        ------------------------------------------
        中间值:
        (a) k = 7
        (b) V = 0.491002
        ------------------------------------------
通过    p_value = 0.623425  q_value = 0.311713
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 1
        (b) A = 500503
        (c) V = 1.007001
        ---------------------------------------------
通过    p_value = 0.313935  q_value = 0.156967
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 2
        (b) A = 499365
        (c) V = -1.268001
        ---------------------------------------------
通过    p_value = 0.204797  q_value = 0.897601
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 8
        (b) A = 499421
        (c) V = -1.150005
        ---------------------------------------------
通过    p_value = 0.250142  q_value = 0.874929
________________________________________________________________________________
        9 自相关检测  AUTOCORRELATION  TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) d = 16
        (b) A = 499620
        (c) V = -0.744006
        ---------------------------------------------
通过    p_value = 0.456873  q_value = 0.771564
________________________________________________________________________________
        10 矩阵秩检测  RANK TEST
        ---------------------------------------------
        中间值:
        ---------------------------------------------
        (a) Probability P_32 = 0.288800
        (b)             P_31 = 0.577600
        (c)             P_30 = 0.133600
        (d) Frequency   F_32 = 274
        (e)             F_31 = 573
        (f)             F_30 = 129
        (g) # of matrices    = 976
        (h) Chi^2            = 0.386748
        (i) NOTE: 576 BITS WERE DISCARDED.
        ---------------------------------------------
通过    p_value = 0.824174  q_value = 0.824174
________________________________________________________________________________
        11 前向累加和检测  CUMULATIVE SUMS (FORWARD) TEST
        -------------------------------------------
        中间值:
        -------------------------------------------
        (a) The maximum partial sum = 724
        -------------------------------------------
通过    p_value = 0.879009  q_value = 0.879009
________________________________________________________________________________
        11 后向累加和检测  CUMULATIVE SUMS (REVERSE) TEST
        -------------------------------------------
        中间值:
        -------------------------------------------
        (a) The maximum partial sum = 603
        -------------------------------------------
通过    p_value = 0.957206  q_value = 0.957206
________________________________________________________________________________
        12 近似熵检测  APPROXIMATE ENTROPY TEST
        --------------------------------------------
        中间值:
        --------------------------------------------
        (a) m (block length)    = 2
        (b) n (sequence length) = 1000000
        (c) Chi^2               = 3.289180
        (d) Phi(m)              = -1.386294
        (e) Phi(m+1)            = -2.079439
        (f) ApEn                = 0.693146
        (g) Log(2)              = 0.693147
        --------------------------------------------
通过    p_value = 0.510648  q_value = 0.510648
________________________________________________________________________________
        12 近似熵检测  APPROXIMATE ENTROPY TEST
        --------------------------------------------
        中间值:
        --------------------------------------------
        (a) m (block length)    = 5
        (b) n (sequence length) = 1000000
        (c) Chi^2               = 23.752709
        (d) Phi(m)              = -3.465726
        (e) Phi(m+1)            = -4.158861
        (f) ApEn                = 0.693135
        (g) Log(2)              = 0.693147
        --------------------------------------------
通过    p_value = 0.853227  q_value = 0.853227
________________________________________________________________________________
        13 线性复杂度检测  LINEAR COMPLEXITY
        -----------------------------------------------------
        M (substring length)     = 500
        N (number of substrings) = 2000
        Note: 0 bits were discarded!
        -----------------------------------------------------
                F R E Q U E N C Y                            
        -----------------------------------------------------
          C0   C1   C2   C3   C4   C5   C6          V   P-value   Q-value
        -----------------------------------------------------
          15   70  269 1013  478  122   33   6.989073  0.321859  0.321859
________________________________________________________________________________
        13 线性复杂度检测  LINEAR COMPLEXITY
        -----------------------------------------------------
        M (substring length)     = 1000
        N (number of substrings) = 1000
        Note: 0 bits were discarded!
        -----------------------------------------------------
                F R E Q U E N C Y                            
        -----------------------------------------------------
          C0   C1   C2   C3   C4   C5   C6          V   P-value   Q-value
        -----------------------------------------------------
          11   31  102  533  236   63   24   7.714071  0.259809  0.259809
________________________________________________________________________________
        14 Maurer通用统计检测  UNIVERSAL STATISTICAL TEST
        --------------------------------------------
        中间值:
        --------------------------------------------
        (a) L         = 7
        (b) Q         = 1280
        (c) K         = 141577
        (d) sum       = 877838.790650
        (e) sigma     = 0.002768
        (f) variance  = 3.125000
        (g) exp_value = 6.196251
        (h) V         = 1.510935
        (i) WARNING:  1 bits were discarded.
        -----------------------------------------
通过    p_value = 0.130805  q_value = 0.065402
________________________________________________________________________________
        15 离散傅立叶检测  DFT TEST
        -------------------------------------------
        中间值:
        -------------------------------------------
        (a) Percentile = 95.012000
        (b) N_l        = 475060.000000
        (c) N_o        = 475000.000000
        (d) V          = 0.536656
        -------------------------------------------
通过    p_value = 0.591505  q_value = 0.295753
--------------------------------------------------------------------------------
    No.       P         Q
test  1 ----------------------------------------
 1     0.811881, 0.594059
test  2 ----------------------------------------
 1     0.213821, 0.213821
test  3 ----------------------------------------
 1     0.171246, 0.171246
test  4 ----------------------------------------
 1     0.658721, 0.658721
test  5 ----------------------------------------
 1     0.510192, 0.510192
test  6 ----------------------------------------
 1     0.329666, 0.329666
test  7 ----------------------------------------
 1     0.873914, 0.873914
test  8 ----------------------------------------
 1     0.808844, 0.808844
test  9 ----------------------------------------
 1     0.313427, 0.156714
test 10 ----------------------------------------
 1     0.273894, 0.273894
test 11 ----------------------------------------
 1     0.013472, 0.013472
test 12 ----------------------------------------
 1     0.175215, 0.175215
test 13 ----------------------------------------
 1     0.482055, 0.241028
test 14 ----------------------------------------
 1     0.623425, 0.311713
test 15 ----------------------------------------
 1     0.313935, 0.156967
test 16 ----------------------------------------
 1     0.204797, 0.897601
test 17 ----------------------------------------
 1     0.250142, 0.874929
test 18 ----------------------------------------
 1     0.456873, 0.771564
test 19 ----------------------------------------
 1     0.824174, 0.824174
test 20 ----------------------------------------
 1     0.879009, 0.879009
test 21 ----------------------------------------
 1     0.957206, 0.957206
test 22 ----------------------------------------
 1     0.510648, 0.510648
test 23 ----------------------------------------
 1     0.853227, 0.853227
test 24 ----------------------------------------
 1     0.321859, 0.321859
test 25 ----------------------------------------
 1     0.259809, 0.259809
test 26 ----------------------------------------
 1     0.130805, 0.065402
test 27 ----------------------------------------
 1     0.591505, 0.295753
-------------------------------------------------
  0   0   0   0   0   1   0   0   0   0     ----       1/1        1
  0   0   1   0   0   0   0   0   0   0     ----       1/1        2
  0   1   0   0   0   0   0   0   0   0     ----       1/1        3
  0   0   0   0   0   0   1   0   0   0     ----       1/1        4
  0   0   0   0   0   1   0   0   0   0     ----       1/1        5
  0   0   0   1   0   0   0   0   0   0     ----       1/1        6
  0   0   0   0   0   0   0   0   1   0     ----       1/1        7
  0   0   0   0   0   0   0   0   1   0     ----       1/1        8
  0   1   0   0   0   0   0   0   0   0     ----       1/1        9
  0   0   1   0   0   0   0   0   0   0     ----       1/1       10
  1   0   0   0   0   0   0   0   0   0     ----       1/1       11
  0   1   0   0   0   0   0   0   0   0     ----       1/1       12
  0   0   1   0   0   0   0   0   0   0     ----       1/1       13
  0   0   0   1   0   0   0   0   0   0     ----       1/1       14
  0   1   0   0   0   0   0   0   0   0     ----       1/1       15
  0   0   0   0   0   0   0   0   1   0     ----       1/1       16
  0   0   0   0   0   0   0   0   1   0     ----       1/1       17
  0   0   0   0   0   0   0   1   0   0     ----       1/1       18
  0   0   0   0   0   0   0   0   1   0     ----       1/1       19
  0   0   0   0   0   0   0   0   1   0     ----       1/1       20
  0   0   0   0   0   0   0   0   0   1     ----       1/1       21
  0   0   0   0   0   1   0   0   0   0     ----       1/1       22
  0   0   0   0   0   0   0   0   1   0     ----       1/1       23
  0   0   0   1   0   0   0   0   0   0     ----       1/1       24
  0   0   1   0   0   0   0   0   0   0     ----       1/1       25
  1   0   0   0   0   0   0   0   0   0     ----       1/1       26
  0   0   1   0   0   0   0   0   0   0     ----       1/1       27
检测通过
用时 1593 ms
国密随机数检测工具GM/T 0005-2021 最新标准
01-17
国密随机数检测工具GM/T 0005-2021 最新标准 支持win10系统 输出详细的国密检测结果，支持二级均匀性检测
国密认证随机数测试工具rnd-20190527.zip
05-27
国密认证随机数基本检测，随机数检测，随机数性能，随机数随机性，POS机相关，内部有说明和例子。示例数据也有，测试成功和失败会提示，算法是扑克检测算法
随机性检测——支持GMT0005-2021——分分钟出结果
热门推荐
云与山的彼端
01-14 5万+
支持GM/T 0005《随机性检测规范》，严格按照规定执行数据的随机性检测。 支持GM/T 0005规定的全部十五个检测项。 样本大小支持1000*1000比特、1000*1000*100比特、1024*1024比特。 以通用常见的CSV文件格式输出测试报告，检测结论清晰明了，检测结果简洁易懂。
GM/T 0005随机数检测工具
dream5555555的博客
07-18 1665
国密随机数随机性检测工具
随机数测试工具及文档
03-30
适用于加密应用的发生器可能需要满足比其他应用更强的要求。特别是，在没有输入知识的情况下，它们的输出必须是不可预测的。本文件讨论了表征和选择适当发电机的一些标准。还讨论了统计测试的主题及其与密码分析的关系，并提供了一些推荐的统计测试。这些测试可用作确定发生器是否适合特定加密应用的第一步。然而，没有一套统计测试可以绝对证明发电机适合在特定应用中使用，即统计测试不能代替密码分析。发电机的设计和密码分析超出了本文的范围。
国密随机数检测工具,随机数检测
09-09
国密随机数检测工具,随机数检测
TRNG GM_T 0005-2021检测工具
Aaron_dw的博客
06-27 840
本文介绍一个用来检测随机数的工具，符合国标GM_T 0005-2021的测试要求。测试的环境需要安装java，可以自行查看csdn上安装教程。工具的使用在国密随机数检测那个页面上有详细介绍。同样都是有两种测试方法，需要切分随机数的大小。我刚好之前开发了类似的脚本，读者可以参考。
随机数效验,符合《GM/T 0005-2021》规范
最新发布
08-04
在本文中，我们将探讨随机数效验如何符合《GM/T 0005-2021》规范这一特定主题，该规范是中华人民共和国关于信息安全技术的一个国家标准。虽然具体的压缩包文件名称列表信息未能提供，但我们可以聚焦于随机数效验与...
精选资源
GM/T 0005-2021 随机性检测规范
08-05
随机数发生器检测 randomness 实现了 《GM/T 0025...随机性检测工具 使用说明 rddetector 数据生成工具 使用说明 rdgen若您需要使用相关测试工具需要可以 从Release中下载编译版本 或 手动编译程序，详见文档： 随机性
国密认证 - GM/T 0005-2012 随机性检测规范
11-28
扫描版本！ 本标准规定了商用密码应用中的随机性检测指标和检测方法。
The NIST Statistical Test Suite： 序列随机性测试工具
08-25
The NIST Statistical Test Suite ( Revised by Larry Bassham, March 2008)， 用于测试序列的随机性. 从NIST上下载的源代码，稍微修改了一下，附带一个已经编译好的32位Exe程序。主要修改如下：1）增加了大量的帮助信息；2）优化了参数交互，全部功能支持命令行参数化，原来的需要手动输入一些命令；3）增加了测试的日志功能和进度显示。
随机数测试
11-27
Linux下的随机数性能测试包，包含常用的NIST-SP、testU01等，里面附带文档说明（英文），有讲解每个部分的详细测试内容以及函数
SPL Tools:随机性能逻辑测试工具和实用程序。-开源
04-25
随机性能逻辑（SPL）用于捕获性能假设。 使用SPL，可以用以下假设对Java函数进行注释，这些陈述指出，例如，注释后的函数最多比数组复制慢三倍。 然后在构建时以与标准单元测试类似的方式检查该假设。 换句话说，SPL是关于引入性能assert（）的。 与其他类似解决方案相比，SPL的优点包括以下几点。 SPL公式使用定义明确的逻辑和统计上合理的测试（例如t检验）。 接下来，SPL旨在进行自动评估。 最后，SPL公式使用相对比较（与固定时间比较）来提供更好的可移植性。
NIST随机性测试套件
03-08
美国国家标准与技术研究所提供的Special Publication800-22测试包（简称NIST随机性测试）。 NIST测试程序是一个统计包，包括 16 种测试手段。这些测试手段可测试由用作保密随机或者伪随机数发生器的硬件和软件产生的任意长的 2 进制序列的随机性。这些测试手段主要致力于判定可能存在于序列中的多种多样的非随机性。其中一些测试又可以分解成多种子测验。 亲测可用哦
GM/T 00005-2021随机数检测工具
05-17
GM/T 00005-2021随机数检测工具是一款用于检测随机数的工具，符合国家密码管理局发布的GM/T 0005-2021《随机数检测技术要求》标准。它可以通过多种随机数检测算法，对输入的随机数序列进行检测和分析，判断其是否...
随机数检测（五）
Lapedius的博客
07-26 1588
符合GM/T 0005-2021和GM/T 0062-2018的随机数检测工具。随机数以文件形式导入，可输出测试结果文件，包含15种测试项的p、q结果。可用于商用密码产品开发阶段的自测试，也可用于商用密码产品认证过程中随机数送样检测的预测试。
GitHub上的随机性检测工具sp800_22_tests介绍：（1）在Windows下的使用
henter的专栏
05-30 4020
    David Johnston 在 GitHub 上发布了一个名为 sp800_22_tests 的工具，网址是：https://github.com/dj-on-github/sp800_22_tests ，它是一个用 Python 语言写的程序集，能够根据 NIST SP 800-22 文档的要求，检测随机数集合的随机性，包括以下 15 种测试种类：    monobit_test   ...
NIST随机数检测
weixin_43988390的博客
03-22 6236
NIST随机数
【亲测免费】 国密随机数检测工具
gitblog_09724的博客
10-12 733
国密随机数检测工具 【下载地址】国密随机数检测工具 本仓库提供了一个国密随机数检测工具，用于对随机数进行检测。该工具旨在帮助用户验证随机数的质量，确保其符合相关标准和要求 项目地址: https://gitcode.com/ope...
评论 4
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值