期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：6
期号：5
出版社：Seventh Sense Research Group
摘要：Network security is a main challenge now –a days. There are different types of attacks in network. SQL Injection attacks are the most common attacks. Statistical survey says that most of the web sites which collaborate with the database are decumbent to SQL Injection or Cross Site scripting attacks. Detecting these attacks is known as anomaly detection. There is a lot anomoly detection techniques are widely used in a variety of applications, e.g., computer networks, security systems, etc. This paper describes and analyzes an approach to anomaly detection using proximity graphs and the PageRank algorithm. Most of the dynamic websites maintains databases; due to the design drawbacks of the database of a website there is a possibility of SQL injection attacks. The stateofart web application input validation techniques fails to identify the proper SQL/XSS. The systems fail while processing HTTP parameter pollution attacks. Crosssite Scripting (XSS) has become prevalent type one of the most privacy vulnerabilities. Where the sake for the vulnerability primarily depends upon on the serverside, the normal exploitation is within the user’s web browser which was affected on the clientside by attacks. Therefore, an operator of a web application has evidence which was limited of XSS issues. IPAAS is not able to protect against all kind of XSS and SQL injection attacks. However, our experiments show that IPAAS is a simple and effective solution that can greatly improve the security of web applications. Our technique automatically and transparently applies input validates during the development phase of a web applications. Therefore, IPAAS helps developers that are unaware of web application security issues to write more secure applications.
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