The objective of this project is to design and develop a Secure Email Communication System integrated with a trust-based spam filtering mechanism. The system ensures secure email transmission while intelligently identifying spam emails based on sender trust scores, content patterns, and user behavior analysis.
Study traditional email systems and common security threats such as spam, phishing, and spoofing.
Analyze trust-based filtering concepts and differences between rule-based and intelligent spam detection.
Prepare Software Requirement Specification (SRS) and system workflow documentation.
Design system architecture including email server module, spam filtering engine, and trust evaluation component.
Create database schema for users, emails, sender reputation, trust scores, and filtering logs.
Implement secure user authentication and role-based access control.
Develop modules for composing, sending, receiving, and deleting emails.
Implement encryption techniques to secure email content during storage and transmission (simulation for BCA, enhanced encryption for MCA).
Design trust score calculation logic based on sender history, email frequency, and user feedback.
Apply content-based filtering using keywords, links, and attachment analysis.
Classify emails as trusted, suspicious, or spam based on trust score thresholds.
Build user dashboard to manage inbox, spam folder, and trust preferences.
Maintain audit logs for email activities and spam filtering decisions.
Perform unit testing and system testing for spam detection accuracy.
Simulate phishing and spam scenarios to validate system effectiveness.
Prepare documentation including ER diagrams, filtering logic flowcharts, trust model explanation, and test cases.
Deploy the system locally or on a cloud simulation environment for demonstration.
