Intelligent Deep Learning for Smarter Phishing Detection in Modern Web Platforms

This story was originally published on HackerNoon at: https://hackernoon.com/intelligent-deep-learning-for-smarter-phishing-detection-in-modern-web-platforms. Discover how hybrid CNN-LSTM deep learning models improve phishing detection accuracy using URL feature engineering, PhishTank data, and AI-driven analysis. Check more stories related to undefined at: https://hackernoon.com/c/undefined. You can also check exclusive content about #url-based-phishing, #ai-cybersecurity-web-platform, #intelligent-phishing-detection, #deep-learning-phishing, #phishing-feature-engineering, #phishtank-ml-dataset, #phisihing-research-paper, #good-company, and more. This story was written by: @sanya_kapoor. Learn more about this writer by checking @sanya_kapoor's about page, and for more stories, please visit hackernoon.com. Phishing attacks are becoming increasingly sophisticated, making traditional rule-based detection less effective. This article explores Mahathi Kari's research on a hybrid CNN-LSTM deep learning framework that combines structured data preprocessing, URL feature engineering, and comprehensive model evaluation to improve phishing detection accuracy while advancing more adaptive AI-driven cybersecurity systems.