Results 181 to 190 of about 24,379 (232)

Malware detection using pre-trained transformer encoder with byte sequences. [PDF]

PLoS One
Kim EJ, Lee YK, Lee SM, Kim JN, Kang AR, Kim MS, Jeong YS.   +6 more
europepmc   +1 more source

Relational Framework of Cyberattacks: Empirical Evidence from Multistage Incidents. [PDF]

Sensors (Basel)
Ferrer-Oliva M, Medina-Merodio JA, Martínez-Herraiz JJ, Cilleruelo-Rodríguez C.   +3 more
europepmc   +1 more source

A robust and dynamic malware detection and classification model using behavioral-based analysis and BERT technique. [PDF]

PLoS One
Alhazmi AH.
europepmc   +1 more source

A generative AI-driven cybersecurity framework for small and medium enterprises software development: an ANN-ISM approach. [PDF]

Sci Rep
Awan M, Alam A, Khan RA, Alwageed HS, Ayouni S, Almagrabi AO.   +5 more
europepmc   +1 more source

Safeguarding seniors in the digital age: an experimental study on the influence of cybersecurity awareness training on technology adoption, security behaviors, and cybercrime consciousness. [PDF]

Front Public Health
Atta MHR, Alkubati SA, Khalil MIM, El Fatah NKA, Alsololi RS, Aldawsari MM.   +5 more
europepmc   +1 more source

A spyware detection method for firmware based cyber attacks. [PDF]

Sci Rep
Shamshirsaz BA, Asghari SA, Aminian M.
europepmc   +1 more source

A multi-dimensional DNS domain intelligence dataset for cybersecurity research. [PDF]

Data Brief
Hranický R, Ondryáš O, Horák A, Pouč P, Jeřábek K, Ebert T, Polišenský J.   +6 more
europepmc   +1 more source

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Evolutionary Malware

International Journal of Wireless Networks and Broadband Technologies, 2012
Much as information systems themselves evolve and incorporate innovation, so too has malicious software, or “malware.” The increasing threat to those who use and trust in these systems is dangerous to overlook. This article examines recent trends in malware development.
Michael Brian Pope, Merrill Warkentin, Xin (Robert) Luo   +2 more
openaire   +1 more source

Evolvable malware

Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009
The concept of artificial evolution has been applied to numerous real world applications in different domains. In this paper, we use this concept in the domain of virology to evolve computer viruses. We call this domain as "Evolvable Malware". To this end, we propose an evolutionary framework that consists of three modules: (1) a code analyzer that ...
Sadia Noreen, Shafaq Murtaza, M. Zubair Shafiq, Muddassar Farooq   +3 more
openaire   +1 more source