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Analysis of web server log files and attack detection
Authors:R Faradzhullaev
Affiliation:(1) Institute of Information Technologies, Academy of Sciences of Azerbaijan, ul. F. Agaeva 9, Baku, Az-1141, Azerbaijan
Abstract: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.
Keywords:Web site  security  HTTP query  theory of probability  Chebyshev inequality  detection method  anomalous queries
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