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Author:

Zhang, Y. (Zhang, Y..) | Gu, Y. (Gu, Y..)

Indexed by:

EI Scopus

Abstract:

Malware activities have become more and more frequent in recent years, and malware has become an essential threat in the field of network security. Malware detection technology has also received more and more attention. Since the machine learning method can effectively solve the classification problem in malware detection technology, the malware detection technology based on machine learning is gradually applied in various scenarios. This paper first summarizes the traditional malware detection technology, then introduces the classification and specific implementation methods of machine learning-based malware detection technology, and finally summarizes the problems faced by the current detection technology and expounds possible future research. © 2023 IEEE.

Keyword:

machine learning intrusion detection malware network security

Author Community:

  • [ 1 ] [Zhang Y.]Beijing University of Technology, Faculty of Information Technology, Beijing, 100124, China
  • [ 2 ] [Gu Y.]Beijing University of Technology, Faculty of Information Technology, Beijing, 100124, China

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Source :

Year: 2023

Page: 1373-1378

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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