Enhancing phishing detection with dynamic optimization and character-level deep learning in cloud environments. [PDF]
PeerJ Comput SciRavula V, Ramaiah M.
europepmc +1 more source
A hybrid super learner ensemble for phishing detection on mobile devices. [PDF]
Sci RepRao RS, Kondaiah C, Pais AR, Lee B.
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A systematic review and future directions for AI-driven detection of fraud patterns in SACCO transactions. [PDF]
Front Artif IntellAmpumuza D, Katushabe C, Tamale M.
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Relational Framework of Cyberattacks: Empirical Evidence from Multistage Incidents. [PDF]
Sensors (Basel)Ferrer-Oliva M +3 more
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Optimized ensemble machine learning model for cyberattack classification in industrial IoT. [PDF]
Front Artif IntellAlabdullah B, Sankaranarayanan S.
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Cybersecurity and Data Protection Practices Among Australian Dermatologists. [PDF]
Australas J DermatolYoong NKM, Wong XL, Sullivan J.
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Improving the accuracy of cybersecurity spam email detection using ensemble techniques: A stacking approach Machine learning for spam email detection. [PDF]
PLoS OneTian Y, Dai X, Li Z, Guo H, Mao X.
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ETHIAD: A novel explainable model for detecting illicit accounts on Ethereum. [PDF]
PLoS OneLu J, Liao B, Liu Y, Yao KE.
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Phishing Attacks and Anti Phishing Techniques
International Research Journal of Modernization in Engineering Technology and Scienceopenaire +1 more source
Empowering the nursing workforce for cyber-resilience: Strategic preparedness and care management during hospital cyberattacks. [PDF]
PLOS Digit HealthDorosti AM +3 more
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