Detection and Implementation of Web-based Attacks using Attribute Length Method
With the increasing demand of web-based applications, they have become more prone to be exploited by the attackers. This paper is to study the effects of web-based attacks and analyze the log files generated during the attacks. The authors have implemented attribute length method proposed by the author for the detection of web-based attacks. In the implementation of the attribute length method, two different phases are used in their system i.e., learning and detection phase. In the learning phase, their implementation in Java trains the normal dataset and calculates the threshold probability value which is used in the detection phase for the estimation of web-based attacks.