A Lightweight Hybrid MLP-Based Framework for Real-Time Phishing URL Detection Using Structural URL Features
Researchers have developed a new, efficient framework for detecting phishing URLs in real-time. This system uses a hybrid approach, combining blacklist screening with a Multi-Layer Perceptron (MLP) classifier that analyzes structural URL features. It achieves high accuracy and speed by avoiding complex content analysis or external API calls, making it suitable for resource-limited environments. A prototype application called CyberGuard demonstrates its practical deployment potential. AI
IMPACT This research offers a more efficient and accurate method for real-time phishing URL detection, potentially improving cybersecurity defenses.