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

Moosa, A. and Alsaffar, E.M. (2008) Proposing a hybrid-intelligent framework to secure e-government web applications. In: 2nd International Conference on Theory and Practice of Electronic Governance , Cairo, Egypt,

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To link to this item DOI: 10.1145/1509096.1509109


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.

Item Type:Conference or Workshop Item (Paper)
ID Code:14800
Uncontrolled Keywords:blacklist, e-government, fuzzy logic, negative logic based filtering, neural networks, positive logic based filtering, session based filtering, web application, web application firewalls, whitelist

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