Next-generation antivirus for JavaScript malware detection based on dynamic features

There are many kinds of Exploit Kits, each one being built with several vulnerabilities, but almost all of them are written in JavaScript. So, we created an antivirus, endowed with machine learning, expert in detecting JavaScript malware based on Runtime Behaviors. In our methodology, JavaScript is...

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Veröffentlicht in:	Knowledge and information systems 2024-02, Vol.66 (2), p.1337-1370
Hauptverfasser:	de Lima, Sidney M. L., Souza, Danilo M., Pinheiro, Ricardo P., Silva, Sthéfano H. M. T., Lopes, Petrônio G., de Lima, Rafael D. T., de Oliveira, Jemerson R., Monteiro, Thyago de A., Fernandes, Sérgio M. M., Albuquerque, Edison de Q., da Silva, Washington W. A., dos Santos, Wellington P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Anti-virus software Computer Science Cybersecurity Data Mining and Knowledge Discovery Database Management Information Storage and Retrieval Information Systems and Communication Service Information Systems Applications (incl.Internet) IT in Business JavaScript Machine learning Malware Operating systems Regular Paper
Online-Zugang:	Volltext
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