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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.
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