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