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Author:

Xiao, Jiali (Xiao, Jiali.) | Li, Yifeng (Li, Yifeng.) | Yan, Tian (Yan, Tian.) | Li, Lihua (Li, Lihua.)

Indexed by:

EI Scopus

Abstract:

This paper proposes a security assessment method based on rough set theory for flood DDoS attacks. It realizes real-time quantitative assessment of security threats. The hardware structure of network communication early warning system is designed by taking FTGUI-20003-1B processor and warning signal lamp as an example. In this paper, the sensor technology is introduced to acquire the state characteristics of the communication network. Rough set theory is introduced to identify network security state. It divides the communication network link into the communication channel composed of multiple nodes and identifies the security state of the communication network. The simulation results show that the intrusion detection capability of this method is strong and the reliability and stability of security detection are good. © 2023 IEEE.

Keyword:

Telecommunication networks Intrusion detection Rough set theory Network security Denial-of-service attack Artificial intelligence Computation theory

Author Community:

  • [ 1 ] [Xiao, Jiali]Beijing University of Technology, ZHUHAI & USM, Guangdong Province, Zhuhai City, China
  • [ 2 ] [Li, Yifeng]Beijing University of Technology Zhuhai, Guangdong Province, Zhuhai City, China
  • [ 3 ] [Yan, Tian]Beijing University of Technology Zhuhai, Guangdong Province, Zhuhai City, China
  • [ 4 ] [Li, Lihua]Beijing University of Technology, ZHUHAI & USM, Guangdong Province, Zhuhai City, China

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Year: 2023

Page: 582-585

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: 0

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