Proposing a hybrid-intelligent framework to secure e-government web applications

Authors:
Asaad Moosa;Eanas Muhsen Alsaffar
Affiliations:
University of Reading, Reading, Berkshire, United Kingdom;University of Reading, Reading, Berkshire, United Kingdom
Venue:
Proceedings of the 2nd international conference on Theory and practice of electronic governance
Year:
2008

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Abstract

One of the essential needs to implement a successful e-Government web application is security. Web application firewalls (WAF) are the most important tool to secure web applications against the increasing number of web application attacks nowadays. WAFs work in different modes depending on the web traffic filtering approach used, such as positive security mode, negative security mode, session-based mode, or mixed modes. The proposed WAF, which is called (HiWAF), is a web application firewall that works in three modes: positive, negative and session based security modes. The new approach that distinguishes this WAF among other WAFs is that it utilizes the concepts of Artificial Intelligence (AI) instead of regular expressions or other traditional pattern matching techniques as its filtering engine. Both artificial neural networks and fuzzy logic concepts will be used to implement a hybrid intelligent web application firewall that works in three security modes.