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 internet but at the same time web applications are mostly targeted by the hackers. In this paper we present an efficient intrusion detection system approach for detecting input validation attacks against web application. Web application attacks gives chance to the attacker to get unrestricted access to data base and web servers. In this approach we have proposed a two step approach to detect input validation attacks against web applications. By using our approach we can prevent input validation attacks against web applications very efficiently. In the first step we have used a honey pot system to find any malicious data is present or not. In the second step we have used efficient intrusion mechanism to identify the attacks that was not identified in the first step. In this we used an efficient Hirschberg algorithm this is a divide and conquer approach to find attacks against web applications. This system analyzes malicious code and immediately generates an alert to protect web applications from the attacker. By using this technique we can reduce the analysis time and false positive rate.