Using a Subtractive Center Behavioral Model to Detect Malware

In recent years, malware has evolved by using different obfuscation techniques; due to this evolution, the detection of malware has become problematic. Signature-based and traditional behavior-based malware detectors cannot effectively detect this new generation of malware. This paper proposes a sub...

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Veröffentlicht in:	Security and communication networks 2020, Vol.2020 (2020), p.1-17
Hauptverfasser:	Aslan, Ömer, Tanrıöver, Ömer Özgür, Samet, Refik
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Behavior Computer viruses Cybercrime Datasets Evolution Heuristic Machine learning Malware Methods Model accuracy Operating systems Software Trends Worms
Online-Zugang:	Volltext
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