2016 | OriginalPaper | Chapter
Detection of Web Application Attacks with Request Length Module and Regex Pattern Analysis
Author : Ei Ei Han
Published in: Genetic and Evolutionary Computing
Publisher: Springer International Publishing
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Web application attack detection is one of the popular research areas during these years. Security for web application is necessary and it will be effective to study and analyze how malicious patterns occur in web server log. This system analyzes web server log file, which includes normal and malicious users’ access patterns with their relevant links. This uses web server log file dataset for the detection of web application attacks. This system intends to analyze normal and attack behaviors from web server log and then classify attack types which are included in the dataset. In this system, three types of attacks are detected namely, SQL injection, XSS and directory traversal attacks. Attack analysis stage is done by request length module and regular expressions for various attack patterns.