Anomaly detection system of web access using user behavior features
Anomaly detection system of web access using user behavior features
This leads to the need of monitoring the users accesses to these services to distinguish abnormal and malicious behaviors from the log data in order to ensure the quality of these web services as well as their safety. This work presents methods to build and develop a rule-based systems allowing services’ administrators to detect abnormal and malicious accesses to their web services from web logs. The proposed method investigates characteristics of user behaviors in the form of HTTP requests and