Singapore International Arbitration Centre
Security of web servers has become a sensitive subject today. Prediction of normal and abnormal re-quest is problematic due to large number of false alarms in many anomaly based Intrusion Detection Systems (IDS). SS-IDS derive automatically the parameter profiles from the analyzed data thereby generating the Statistical Signatures. Statistical Signatures are based on modeling of normal requests and their distribution value without explicit intervention. Several attributes are used to calculate the behavior of the legitimate request on the web server.