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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Spyware vs. Spyware: Software Conflicts and User Autonomy [PDF]
, 2020 Grimmelmann, James
core +1 more source
, 2018 Ransomware attacks -- in contrast to other cyber attacks -- must not be detected and especially not blocked or recovered on first sight. This relaxation is supported by the rareness of ransomware attacks. Certainly, the uprising of ransomware families, which are able to circumvent the detection mechanism, integrated into the local machine, prevents the
openaire +1 more source
Football cybersecurity threat severity prediction using multi-head transformer-based deep learning models. [PDF]
Sci RepHassan BM +5 more
europepmc +1 more source
Cybersecurity as it relates to perfusion. [PDF]
J Extra Corpor TechnolLung K.
europepmc +1 more source
, 2020 During the first months of 2020, the evolution and importance of the resources proposed by the Digital Society has been showed for the implementation of the concept of "Business Continuity", for teleworking in organizations and also for the establishment of new forms of communication between people.
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Cybersecurity in connected medical devices: a policy agenda for the NHS. [PDF]
NPJ Digit MedToparti O, Rajput K, Darzi A, Ghafur S.
europepmc +1 more source
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
europepmc +1 more source
A generative AI-driven cybersecurity framework for small and medium enterprises software development: an ANN-ISM approach. [PDF]
Sci RepAwan M +5 more
europepmc +1 more source