Radar: a realistic dataset for advancing ransomware detection
CybersecurityRansomware threats are growing in frequency and severity, posing significant challenges to cybersecurity defences. Machine learning (ML) has gained attention as a promising tool for detecting ransomware, but the lack of realistic ransomware datasets for ...
Jamil Ispahany +4 more
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Ransomware attacks and cybersecurity concerns in modern hospitals: vulnerabilities and impacts on trauma centers and patient care. [PDF]
Trauma Surg Acute Care OpenMartin MJ, Patel PP, Egodage T.
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Ensemble machine learning for proactive android ransomware detection using network traffic. [PDF]
Sci RepKirubavathi G +6 more
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An Intelligent Sensing Framework for Early Ransomware Detection Using MHSA-LSTM Machine Learning. [PDF]
Sensors (Basel)Alqahtani A, Ohemeng MO, Sheldon FT.
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V-CHIMERA: An Immune-Inspired Verified Framework for Organizational Cyber Crisis Response Under Misinformation. [PDF]
Biomimetics (Basel)Alghamdi F, Alqithami S.
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Two-Tier heuristic search for ransomware-as-a-service based cyberattack défense analysis using explainable Bayesian deep learning model. [PDF]
Sci RepAlmuflih AS.
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Cybersecurity is imperative in robotic arthroplasty. [PDF]
SICOT JBagaria V, Vaishya R, Vaish A, Lustig S.
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Associations Between IT Job Stressors and Anxiety, Depression, and Stress: Cross-Sectional Study. [PDF]
JMIRx MedGarcia Colato E +4 more
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A novel technique for ransomware detection using image based dynamic features and transfer learning to address dataset limitations. [PDF]
Sci RepFerdous J +3 more
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Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure. [PDF]
Sci RepKumar B +5 more
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