A Combined Two Step Approach for Detecting Input Validation Attacks Against Web Applications

Internet becomes a part of our daily life. Almost very service by the internet will be provided with the help of web applications with these we can say that without the web application we cannot do anything over the int rnet but at the same time web applications are mostly targeted by the hackers. In this paper we present an efficient intrusion detec tion system approach for detecting input validation attacks against web appl ication. Web application attacks gives chance to th e attacker to get unrestricted access to data base and web servers. In this approa ch we have proposed a two step approach to detect i nput validation attacks against web applications. By using our approach we can prev ent input validation attacks against web applicatio ns very efficiently. In the first step we have used a honey pot system to find any ma licious data is present or not. In the second step w have used efficient intrusion mechanism to identify the attacks that was not iden t fi d in the first step. In this we used an effici ent Hirschberg algorithm this is a divide and conquer approach to find attacks against web applications. This system analyzes malicious c ode and immediately generates an alert to protect web applications from the attacker. By using this technique we can reduc the analysis time and false positive rate.