A survey on machine learning-based malware detection in executable files

In last decade, a proliferation growth in the development of computer malware has been done. Nowadays, cybercriminals (attacker) use malware as a weapon to carry out the attacks on the computer systems. Internet is the main media to execute the malware attack on the computer systems through emails,...

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Veröffentlicht in:	Journal of systems architecture Jg. 112; S. 101861
Hauptverfasser:	Singh, Jagsir, Singh, Jaswinder
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2021
Schlagworte:	API calls Dynamic analysis Machine learning Malicious software Obfuscation techniques Ransomware Static analysis Malicious software Dynamic analysis Machine learning Static analysis Ransomware API calls Obfuscation techniques
ISSN:	1383-7621, 1873-6165
Online-Zugang:	Volltext
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