Detection and mitigation of Web Services Attacks using Markov Model

نویسندگان

  • Vivek Relan
  • Bhushan Sonawane
چکیده

We introduce Markov Model for Web services attacks detection and mitigation. This model is capable of preventing not only injection attacks like SQL injection, Cross-Site Scripting (XSS), buffer overflow but also detect abnormal Web service client behavior. We adopted the well known technique based on Markov model for detecting Web application attacks. Our system contains two Markov models. First model captures Web service input attributes and second model deals with legitimate Web service client behavior. In our experiment, we have generated a test data set by building a shopping cart Web service. We validated the efficacy of proposed method by subjecting test Web service to various attacks.

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تاریخ انتشار 2009