Detecting Suspicious User Behaviour in Web Applications Through Session-Level Activity Analysis
Mohamed Ashraf, Mohamed Haji Ali, Abdhul Haider Pages 84-98
The use of web applications as a platform for providing services such as online banking, e-commerce, healthcare, education, and business processes has expanded significantly. With this expansion comes a greater opportunity for malicious activity, unauthorized access to user accounts, automated attacks, and unauthorized access to web application resources. Traditional security mechanisms used by organizations are generally based on predetermined rules, individual requests, or authentication events.
Keywords: Web Application Security, Session-Level Analysis, Suspicious User Behaviour, Anomaly Detection, Behavioural Profiling, Machine Learning, Intrusion Detection, User Activity Monitoring, Session Analytics, Cybersecurity