Reconciliation/Attestation/Certification

本文详细解析了IAM(身份与访问管理)系统中的关键概念:认证(attestation)、核验(reconciliation)。阐述了这两种机制如何确保用户权限符合企业政策,并探讨了它们在不同场景下的应用及频率。

在IAM项目中,特别是OIM产品相关的文档中经常有几个名词让人费解。下面这几段话我觉得解释的还算比较清楚。

Reconciliation is the automated version of attestation. It ensures proper  access, but strictly according to policies and without eyeballs. A lot of systems  don’t have this capability, but it’s a great way to ensure that your policies are adhered to. In theor y, reconciliation is an automated process that reviews policies on a scheduled basis and puts back anything that’s out of place. For example, as part of your sales management job, you get access to the forecasting system to review your region’s pipeline. But you want to get an occasional look at the pipelines for the other regions, to see how you stack up, so you fat-finger your way i nto the membership of the other LDAP groups that give you this ability. Reconciliation would come along at noon, see that you’ve got something you’re not supposed to have, send a notification to your boss, and pull your id out of those other groups.



It’s either called attestation, certification, or recertificati on, depending on the phases of the moon. They all mean the same thing. Let’s go with attestation for now . It describes the process by which you periodically review who has access to a particular resource. Point to a resource, produce the list of everybody who can currently access that resource, and decide if they still can. If a user is deemed no longer worthy to access that resource, his access is revoked. If it’s a critical application, defined as processing critical data, indispensabl e to the business, or related to compliance processes, it is reviewed every three to six months. Everything else is reviewed 
perhaps once a year.

Attestation is most often a manual process. An IT guy produces the lists,  sneaker-nets them to all the approvers, who then mark up those lists and hand them b ack in, and finally the IT guy fat-fingers any scribbled-up changes. For example, every name h ighlighted in red loses their access for the designated resource. Anybody highlighted in yellow is somebody whom the approver can’t vouch for, so that user must be rerouted to anot her approver.



Certification (also known as attestation or recertification) is  the periodic review of which users have access to which resources. The process is meant to ensure that users maintain access to only those resources they are entitled to. We will describe this process in detail in Chapter 12. Certification policies as defined in Oracle Identity Analytics adhere to what I’ve said previously about compliance: there are things you do for security, and thi ngs you do because you’re told to. So for applications that have been tagged as compliance-related, you may be certifying more often than once a year. In fact, for Sarbanes-Oxley-related applications, you will be certifying quarterly. Your auditors will provide guidelines on the necessary frequency. When certification is left to your discretion, you should at  least consider an annual review, and definitely more often for resour ces with a lot of turnover. Yes, you normally think of  users as experiencing turnover, but think of the resources whose users are more transient. If you have large, te mporary customer bases, users who register for contests, special offers, or time-sensitive resources, and you don’t automatically expire those users, then you need to review who is still provisioned to those after a certain period.


标题基于Python的汽车之家网站舆情分析系统研究AI更换标题第1章引言阐述汽车之家网站舆情分析的研究背景、意义、国内外研究现状、论文方法及创新点。1.1研究背景与意义说明汽车之家网站舆情分析对汽车行业及消费者的重要性。1.2国内外研究现状概述国内外在汽车舆情分析领域的研究进展与成果。1.3论文方法及创新点介绍本文采用的研究方法及相较于前人的创新之处。第2章相关理论总结评述舆情分析、Python编程及网络爬虫相关理论。2.1舆情分析理论阐述舆情分析的基本概念、流程及关键技术。2.2Python编程基础介绍Python语言特点及其在数据分析中的应用。2.3网络爬虫技术说明网络爬虫的原理及在舆情数据收集中的应用。第3章系统设计详细描述基于Python的汽车之家网站舆情分析系统的设计方案。3.1系统架构设计给出系统的整体架构,包括数据收集、处理、分析及展示模块。3.2数据收集模块设计介绍如何利用网络爬虫技术收集汽车之家网站的舆情数据。3.3数据处理与分析模块设计阐述数据处理流程及舆情分析算法的选择与实现。第4章系统实现与测试介绍系统的实现过程及测试方法,确保系统稳定可靠。4.1系统实现环境列出系统实现所需的软件、硬件环境及开发工具。4.2系统实现过程详细描述系统各模块的实现步骤及代码实现细节。4.3系统测试方法介绍系统测试的方法、测试用例及测试结果分析。第5章研究结果与分析呈现系统运行结果,分析舆情数据,提出见解。5.1舆情数据可视化展示通过图表等形式展示舆情数据的分布、趋势等特征。5.2舆情分析结果解读对舆情分析结果进行解读,提出对汽车行业的见解。5.3对比方法分析将本系统与其他舆情分析系统进行对比,分析优劣。第6章结论与展望总结研究成果,提出未来研究方向。6.1研究结论概括本文的主要研究成果及对汽车之家网站舆情分析的贡献。6.2展望指出系统存在的不足及未来改进方向,展望舆情
【磁场】扩展卡尔曼滤波器用于利用高斯过程回归进行磁场SLAM研究(Matlab代码实现)内容概要:本文介绍了利用扩展卡尔曼滤波器(EKF)结合高斯过程回归(GPR)进行磁场辅助的SLAM(同步定位与地图构建)研究,并提供了完整的Matlab代码实现。该方法通过高斯过程回归对磁场空间进行建模,有效捕捉磁场分布的非线性特征,同时利用扩展卡尔曼滤波器融合传感器数据,实现移动机器人在复杂环境中的精确定位与地图构建。研究重点在于提升室内等无GPS环境下定位系统的精度与鲁棒性,尤其适用于磁场特征明显的场景。文中详细阐述了算法原理、数学模型构建、状态估计流程及仿真实验设计。; 适合人群:具备一定Matlab编程基础,熟悉机器人感知、导航或状态估计相关理论的研究生、科研人员及从事SLAM算法开发的工程师。; 使用场景及目标:①应用于室内机器人、AGV等在缺乏GPS信号环境下的高精度定位与地图构建;②为磁场SLAM系统的设计与优化提供算法参考技术验证平台;③帮助研究人员深入理解EKF与GPR在非线性系统中的融合机制及实际应用方法。; 阅读建议:建议读者结合Matlab代码逐模块分析算法实现细节,重点关注高斯过程回归的训练与预测过程以及EKF的状态更新逻辑,可通过替换实际磁场数据进行实验验证,进一步拓展至多源传感器融合场景。
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