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Author:

Zhang, X. (Zhang, X..) | Cheng, C. (Cheng, C..) | Jia, M. (Jia, M..) | Liu, Y. (Liu, Y..) | Gao, Z. (Gao, Z..)

Indexed by:

Scopus

Abstract:

With the rapid development of information technology, network security has become the focus of global attention. Hacking attacks, data leakage, network fraud and other threats emerge in an endless stream, bringing huge risks and losses to individuals, enterprises and countries. AI, as a powerful technical tool, Artificial Intelligence (AI) is gradually integrated into the field of network security, providing new ideas and methods for the defense and attack of network security. AI's learning and reasoning capabilities enable it to quickly identify and respond to complex network attacks, providing unprecedented protection capabilities for network security.  © 2024 IEEE.

Keyword:

Machine Learning Future Development Network Security AI

Author Community:

  • [ 1 ] [Zhang X.]College of Information Engineering, Beijing Polytechnic College, Department of New Generation Information Technology, Beijing, 100042, China
  • [ 2 ] [Cheng C.]College of Information Engineering, Beijing Polytechnic College, Department of New Generation Information Technology, Beijing, 100042, China
  • [ 3 ] [Jia M.]College of Information Engineering, Beijing Polytechnic College, Department of New Generation Information Technology, Beijing, 100042, China
  • [ 4 ] [Liu Y.]College of Information Engineering, Beijing Polytechnic College, Department of New Generation Information Technology, Beijing, 100042, China
  • [ 5 ] [Gao Z.]College of Information Engineering, Beijing Polytechnic College, Department of New Generation Information Technology, Beijing, 100042, China

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Source :

Year: 2024

Page: 1020-1025

Language: English

Cited Count:

WoS CC Cited Count:

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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