Cybersecurity as it relates to perfusion. [PDF]
J Extra Corpor TechnolLung K.
europepmc +1 more source
Cacography based Ransomware Email Phishing Attack Prevention using Language Pack Tuned Transformer Language Model. [PDF]
Sci RepAbiramasundari S, Ramaswamy V.
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Detection of Phishing Website Using ML
Phishing websites pose a severe threat to cyber security, tricking users into divulging sensitive information. This research introduces the framework for machine learning, to accurately detect phishing websites. The proposed system utilizes the Random Forest algorithm, and NLP tools such as Word Cloud and NLTK for feature extraction and visualization ...
openaire +2 more sources
A hybrid super learner ensemble for phishing detection on mobile devices. [PDF]
Sci RepRao RS, Kondaiah C, Pais AR, Lee B.
europepmc +1 more source
Editorial: Machine learning for cybersecurity. [PDF]
Front Artif IntellWickramasinghe Brahmana CS +3 more
europepmc +1 more source
A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach. [PDF]
PeerJ Comput SciMeda S +4 more
europepmc +1 more source
Lightweight malicious URL detection using deep learning and large language models. [PDF]
Sci RepKibriya 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]
Sci RepNurlan Z +7 more
europepmc +1 more source
Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection. [PDF]
Front Big DataNauman M +4 more
europepmc +1 more source
A scalable hybrid computational intelligence framework with bio inspired optimization for high dimensional malicious URL inference. [PDF]
Sci RepLiu H.
europepmc +1 more source