The objective of this project is to design and develop a trust-based secure authentication system that analyzes user behavior patterns to enhance login security. The system dynamically evaluates trust levels based on user actions, helping students understand behavioral analysis, adaptive authentication, and secure system design.
Study traditional authentication methods and limitations in online security systems.
Analyze behavioral authentication concepts such as login time, typing patterns, device usage, and access frequency.
Prepare Software Requirement Specification (SRS) and trust model documentation.
Design system architecture integrating authentication, behavior analysis, and trust evaluation modules.
Create database schema for users, login history, behavior metrics, trust scores, and alerts.
Implement secure user registration and login with password hashing.
Capture and store user behavior data during login and system usage.
Develop logic to calculate trust scores based on predefined behavioral rules.
Implement adaptive authentication, such as additional verification when trust score is low.
Design dashboards for monitoring user trust levels and authentication status.
Implement role-based access for Admin and Users.
Apply input validation and secure coding practices to prevent common attacks.
Maintain audit logs for login attempts and trust score changes.
Perform unit testing, system testing, and security testing.
Prepare project documentation including ER diagrams, flowcharts, test cases, and user manuals.
