Use of Data Mining to Enhance Security for SOA

Service-Oriented Architecture (SOA) is an architectural paradigm for developing distributed applications so that their design is structured on loosely coupled services such as Web Services. One of the most significant difficulties with developing SOA concerns its security challenges, since the responsibilities of SOA security are based on both the servers and the clients. In recent years, a lot of solutions have been implemented, such as the Web Services Security Standards, including WS-Security and WS-Security Policy. However, those standards are completely insufficient for the promising new generations of web applications, such as Web 2.0 and its upgraded edition, Web 3.0. In this work, we are proposing an intelligent security service for SOA using data mining to predict the attacks that could arise with SOAP (Simple Object Access Protocol) messages. Moreover, this service will validate the new security policies before deploying them on the service provider side by testing the probability of their vulnerability.