Cybersecurity is imperative in robotic arthroplasty. [PDF]
SICOT JBagaria V, Vaishya R, Vaish A, Lustig S.
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Cyber Attacks Detection in IoT Networks Using a Distributed Inflated-Mask Encoder-Only Informer Model. [PDF]
Sensors (Basel)Mfondoum RN +5 more
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Enhancing IoT botnet detection with explainable ensemble learning. [PDF]
Front Big DataJoseph L, M S, M V.
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Analysing ransomware: identifying cryptographic weaknesses for decryption
Ransomware has emerged as one of the most significant cybersecurity threats, using encryption to deny users access to their data until a ransom is paid.
Zhang, Yun Rong
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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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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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A method for forensic-ready intrusion detection using explainable learning, prediction-aware graph modeling, and counterfactual analysis. [PDF]
MethodsXGuizani S +4 more
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Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]
Sensors (Basel)Maghanaki M +3 more
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Analysis of Ransomware and its prevention
Global Research and Development Journals, 2020 openaire +1 more source
A novel intrusion detection system for IIoT in 5G networks using attention-augmented federated learning and lightweight transformer architectures. [PDF]
Sci RepDu J.
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