A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach. [PDF]
Meda S +4 more
europepmc +1 more source
Lightweight malicious URL detection using deep learning and large language models. [PDF]
Kibriya H +5 more
europepmc +1 more source
Incident-aware smart prioritization framework for penetration testing and prevention of URL-based cybersecurity attacks in industry 4.0 IoT networks. [PDF]
Nurlan Z +7 more
europepmc +1 more source
Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection. [PDF]
Nauman M +4 more
europepmc +1 more source
A scalable hybrid computational intelligence framework with bio inspired optimization for high dimensional malicious URL inference. [PDF]
Liu H.
europepmc +1 more source
Optimized ensemble machine learning model for cyberattack classification in industrial IoT. [PDF]
Alabdullah B, Sankaranarayanan S.
europepmc +1 more source
Enhancing phishing detection with dynamic optimization and character-level deep learning in cloud environments. [PDF]
Ravula V, Ramaiah M.
europepmc +1 more source
Phishing URL detection with neural networks: an empirical study. [PDF]
Ghalechyan H +4 more
europepmc +1 more source
Explainable TabNet ensemble model for identification of obfuscated URLs with features selection to ensure secure web browsing. [PDF]
Naseer M +4 more
europepmc +1 more source
An integrated CSPPC and BiLSTM framework for malicious URL detection. [PDF]
Zhou J +7 more
europepmc +1 more source

