The objective of this project is to develop an adaptive IAM system that adjusts access decisions based on user behavior analytics. The system detects abnormal behavior patterns and enforces additional security controls when suspicious activity is detected.
Study user behavior analytics and behavioral security concepts.
Identify behavioral indicators such as login time, location, and access frequency.
Design a behavior profiling mechanism for users.
Implement anomaly detection techniques for access patterns.
Assign risk scores based on behavioral deviations.
Trigger step-up authentication for high-risk access attempts.
Log behavior analysis results and access decisions.
Test system using simulated normal and abnormal behaviors.
Evaluate false positives and detection accuracy.
Assess impact on user experience.
Document system effectiveness and improvement areas.
