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An intelligent email security system that uses natural language processing and machine learning to detect phishing emails with high accuracy. The system analyzes email headers, body content, URLs, and sender reputation to classify emails as safe or malicious, providing explanations for its decisions.
Problem Statement
Phishing attacks account for over 90% of data breaches globally, and existing spam filters miss sophisticated phishing attempts that mimic legitimate emails. Traditional rule-based detection fails against evolving attack techniques. An ML-based system that understands the semantic content and context of emails can detect phishing attempts that bypass conventional filters.
Objectives
Build an ML pipeline for email classification
Achieve 95%+ accuracy in phishing detection
Implement feature extraction from email headers, body, and URLs
Create an explainable AI component showing detection reasoning
Design a web interface for email analysis and reporting
Modules
Feature Extraction
Extract features from email headers (SPF, DKIM), body text (urgency words, grammar), URLs (domain age, redirects), and attachments.
ML Model
Ensemble model combining Random Forest, SVM, and a fine-tuned BERT classifier for robust phishing detection.
URL Analyzer
Check URLs against blacklists, analyze domain registration data, detect URL shorteners, and follow redirect chains.
Explainability Engine
SHAP-based explanations showing which features contributed to the phishing classification decision.
Web Interface
Paste or upload emails for analysis, view detection results with confidence scores and detailed explanations.
Dataset
Nazario phishing corpus, APWG eCrime dataset, and Enron email dataset for legitimate emails. Combined dataset of 50,000+ emails.
Expected Output
A web application where users can submit emails (paste content or upload .eml files) and receive instant phishing analysis with a confidence score, risk level, and detailed explanation of why the email was flagged. The system highlights suspicious elements like deceptive URLs, urgency language, and spoofed sender addresses.
Future Scope
Browser extension for real-time email scanning, API integration with email servers (IMAP/SMTP), organizational threat intelligence dashboard, automated incident response, and adversarial training to counter evolving phishing techniques.