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Web applications are becoming the dominant way to provide access to online services such as e-commerce & e-banking. Attackers have found new type of attack to exploit vulnerabilities in these web applications. Among these attacks reflected web parameter attacks have received much attention in the recent scientific literature. Efficient mechanism such as Input validation is an addition overburden scenario for executing a secure transaction in a server side. This paper presents a new, highly automated approach that prevents web parameter attacks using mobile agents in the client side. The Proposed system has to extract keywords from the web application parameter in a client side and use the gene alignment approach to measure the identity between two parameter sequences in order to avoid web attacks.
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