Analysis of Web Server Log Files and Attack Detection

被引：0
|
作者：
Faradzhullaev, R. [1 ]
机构：
[1] Azerbaijan Acad Sci, Inst Informat Technol, Ul F Agaeva 9, AZ-1141 Baku, Azerbaijan
来源：
AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2008年 / 42卷 / 01期
关键词：
Web site; security; HTTP query; theory of probability; Chebyshev inequality; detection method; anomalous queries;
D O I：
10.3103/S0146411608010082
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Problems of web application security and antihacker protection are very topical. Queries that users send to a web application via the Internet are registered in log files of the web server. Analyzing log files allows detecting anomalous changes that take place on the web server and identifying attacks. In this work, different methods are used to analyze log files and detect anomalies. The proposed methods allow detecting anomalous queries received from malicious users in log files of the web server.
引用
收藏
页码：50 / 54
页数：5
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