Detection of Web Server Attack Based on Data Mining
Shen Han-hui · Information Security and Communications Privacy · 2009
With the development of Web technology, more and more services are provided. Web Server has become a main target of hackers. The paper discusses how to analyze Web server log for detecting attack by using data mining method. According to the special format of Web log, this paper provides an improved outlier detection method based on similar coefficient. In order to finish this task, two data mining models are made. The test results are also given, thus to verify their feasibility.