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WSN malware infection model based on cellular automaton and static Bayesian game

open access: yesDianxin kexue, 2019
The theoretical model for the malware infection in wireless sensor networks (WSN) based on cellular automaton and static Bayesian game was studied.Firstly,the malware infection model of WSN based on cellular automaton was built.Secondly,the malware ...
Hong ZHANG   +3 more
doaj  

Malware and Anti-Malware: A Comprehensive Review

open access: yes
With the explosive growth of digital connectivity and the professionalization of cybercrime, malware attacks have become one of the most persistent and sophisticated cybersecurity threats. This landscape now ranges from traditional viruses and worms to complex ransomware-as-a-service (RaaS) syndicates and advanced persistent threats (APTs).
openaire   +1 more source

Few-shot android malware classification with quantum-enhanced prototypical learning and drift detection. [PDF]

open access: yesSci Rep
Tawfik M   +5 more
europepmc   +1 more source

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