Use of Data Mining to Enhance Security for SOA

被引：0
|
作者：
El Yamany, Hany F. [1 ]
Capretz, Miriam A. M. [1 ]
机构：
[1] Univ Western Ontario, Fac Engn, Dept Elect & Comp Engn, London, ON N6A 5B9, Canada
来源：
THIRD 2008 INTERNATIONAL CONFERENCE ON CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICCIT.2008.173
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：551 / 558
页数：8
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