The objective of this project is to design and develop a Trust-Based Insider Threat Detection System that monitors user behavior within an organization to identify potential insider threats. The system evaluates trust scores dynamically to detect suspicious activities and strengthen organizational security.
Study insider threat concepts and their impact on organizational security.
Analyze different types of insider threats such as malicious insiders, negligent users, and compromised accounts.
Prepare Software Requirement Specification (SRS) and insider threat detection workflow documentation.
Design system architecture including user activity monitoring, trust evaluation engine, and alert module.
Create database schema for users, roles, activity logs, trust scores, alerts, and access records.
Implement secure user authentication and role-based access control.
Develop modules to capture user activities such as login times, file access, system usage, and data downloads.
Design trust score calculation logic based on user behavior, frequency of actions, and policy violations.
Continuously update trust scores based on real-time activity analysis.
Implement alert generation when trust score falls below a defined threshold.
Build admin dashboard to visualize user activities, trust levels, and detected threats.
Maintain audit logs for investigations and compliance purposes.
Apply secure coding practices and input validation to protect monitoring data.
Perform unit testing and system testing for threat detection accuracy.
Simulate insider threat scenarios and validate trust score responses.
Generate reports on user behavior trends and security incidents.
Prepare complete documentation including ER diagrams, flowcharts, trust model explanation, and test cases.
Deploy the system locally or on a simulated enterprise environment for demonstration
