本周技术关注:Awstats、Mrtg、Webalizer How-TO Articles

AWStats安装与使用指南
本文档提供了AWStats在IIS6.0上的安装步骤,并介绍了如何使用AWStats、MRTG和Webalizer等工具进行网站流量统计与分析。此外,还详细说明了多服务器日志合并的方法。

TAG:awstats、mrtg、webalizer

[ awstats、mrtg、webalizer] Installing AWStats on IIS 6.0 – Version 2.0 - How-To Articles - IIS Tips Tricks & Resources #
Article is being republished for the IIS-Resources.com community with permission from the author Simon Schofield. I thought that I’d put this together because there seems to be a lack of documentation available for installing AWStats on IIS, and also for those of you (like me) who often struggle with things belonging to the guru zone… Or is it just me? Please understand that this document will certainly get you started collecting statistics for your website(s) in that it covers the basic setup process. If anyone is having troubles getting AWStats to work with IIS 6.0 after following this documentation please advise me at articles'at'ihsen.com and I will do my best to respond. [ awstats、mrtg、webalizer] 多服务器的日志合并统计——apache日志的cronolog轮循和webalizer合并统计 #
多服务器的日志合并统计——Apache日志的cronolog轮循和webalizer合并统计 [ awstats、mrtg、webalizer] MRTG - MRTG Documentation #
MRTG Documentation [ awstats、mrtg、webalizer] awstats简易安装文档 #
awstats简易安装文档 [ awstats、mrtg、webalizer] AWStats logfile analyzer Documentation #
AWStats logfile analyzer 6.5 Documentation [ awstats、mrtg、webalizer] AWStats: Apache/IIS的日志分析工具在GNU/Linux和Windows平台上的使用 #
AWStats: Apache/IIS的日志分析工具 ——在GNU/Linux和Windows平台上的使用简介 [ IIS、 Web Administration 、webapps; Apache、WebLogic、Tomcat、Resin Web Srv] How To Install Apache Tomcat with IIS6 - How-To Articles - IIS Tips Tricks & Resources #
This is a detailed step by step guide to installing Apache Tomcat on systems running IIS 6 courtesy of IIS MVP Paul Lynch. System RequirementsFor this installation I used the following :Windows Server 2003 Enterprise EditionInternet Information Services (IIS) 6.0Sun Java Runtime JRE 5.0 Update 2Apache Jakarta Tomcat version 5.5.9The JK2 Tomcat Web Server Connectors [ snort] Configure Snort and ACID using Windows 2003, IIS 6.0, PHP 4, and MySQL or MS SQL - How-To Articles - IIS Tips Tricks & Resources #
This step by step guide will walk you through installation and configuration of Snort & ACID on a Windows Server 2003 running IIS 6. Snort is a lightweight network intrusion detection system, capable of performing real-time traffic analysis and packet logging on IP networks.ACID Analysis Console for Intrusion Databases is a PHP-based analysis engine to search and process a database of security events generated by various IDSes, firewalls, and network monitoring tools. [ IIS、 Web Administration 、webapps; Proxy_Ssl_Vpn; Security_Win] How to Secure a Web Site Using Client Certificate Authentication - Part 1 - IIS Security Articles - IIS Tips Tricks & Resources #
In this 2 part tutorial I am going to demonstrate how to secure a web site using a client certificate. I don't intend to explain in detail what a client certificate is or how it works. If you don't know then I suggest you read this Microsoft KB article before we get started : [ SQLSERVER 2000&2005; 数据库及WEB安全] Beyond Stored Procedures: Defense-in-Depth Against SQL Injection - Security Articles - IIS Tips Tricks & Resources #
A few years ago, mentioning the phrase “SQL Injection” to developers or asking to adopt a “defense-in-depth” strategy would probably get you a blank stare for a reply. These days, more people have heard of SQL Injection attacks and are aware of the potential danger these attacks present, but most developers’ knowledge of how to prevent SQL Injection is still inadequate, and when asked how to defend their applications against SQL Injection, they usually reply, “That’s easy, just use stored procedures.” As we will see, using stored procedures is a great first step for your defense strategy, but is not sufficient as the only step. You need to adopt a defense-in-depth strategy.
基于数据驱动的 Koopman 算子的递归神经网络模型线性化,用于纳米定位系统的预测控制研究(Matlab代码实现)内容概要:本文围绕“基于数据驱动的Koopman算子的递归神经网络模型线性化”展开,旨在研究纳米定位系统的预测控制问题,并提供完整的Matlab代码实现。文章结合数据驱动方法与Koopman算子理论,利用递归神经网络(RNN)对非线性系统进行建模与线性化处理,从而提升纳米级定位系统的精度与动态响应性能。该方法通过提取系统隐含动态特征,构建近似线性模型,便于后续模型预测控制(MPC)的设计与优化,适用于高精度自动化控制场景。文中还展示了相关实验验证与仿真结果,证明了该方法的有效性和先进性。; 适合人群:具备一定控制理论基础和Matlab编程能力,从事精密控制、智能制造、自动化或相关领域研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①应用于纳米级精密定位系统(如原子力显微镜、半导体制造设备)中的高性能控制设计;②为非线性系统建模与线性化提供一种结合深度学习与现代控制理论的新思路;③帮助读者掌握Koopman算子、RNN建模与模型预测控制的综合应用。; 阅读建议:建议读者结合提供的Matlab代码逐段理解算法实现流程,重点关注数据预处理、RNN结构设计、Koopman观测矩阵构建及MPC控制器集成等关键环节,并可通过更换实际系统数据进行迁移验证,深化对方法泛化能力的理解。
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