About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings

Research Article

Network Security Situational Awareness Model Based on Threat Intelligence

Download(Requires a free EAI acccount)
2 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-89814-4_38,
        author={Hongbin Zhang and Yan Yin and Dongmei Zhao and Bin Liu and Hongbin Gao},
        title={Network Security Situational Awareness Model Based on Threat Intelligence},
        proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings},
        proceedings_a={MOBIMEDIA},
        year={2021},
        month={11},
        keywords={Situation awareness Threat intelligence Game theory Network security Nash equilibrium},
        doi={10.1007/978-3-030-89814-4_38}
    }
    
  • Hongbin Zhang
    Yan Yin
    Dongmei Zhao
    Bin Liu
    Hongbin Gao
    Year: 2021
    Network Security Situational Awareness Model Based on Threat Intelligence
    MOBIMEDIA
    Springer
    DOI: 10.1007/978-3-030-89814-4_38
Hongbin Zhang1, Yan Yin1,*, Dongmei Zhao2, Bin Liu3, Hongbin Gao1
  • 1: School of Information Science and Engineering, Hebei University of Science and Technology
  • 2: Hebei Key Laboratory of Network and Information Security, Hebei Normal University, Shijiazhuang
  • 3: School of Economics and Management, Hebei University of Science and Technology
*Contact email: 2019114017@stu.hebust.edu.cn

Abstract

In order to deal with the problems that the increasing scale of the network in the real environment leads to the continuous high incidence of network attacks, the threat intelligence was applied to situational awareness, and the situational awareness model based on random game was constructed. Threat perception of the target system was performed by comparing the similarity between the exogenous threat intelligence and the internal security events of the system. At the same time, internal threat intelligence was generated based on the threat information inside the system. In this process, game theory was used to quantify the current network security situation of the system, evaluate the security status of the network. Finally, the prediction of the network security situation was realized. The experimental results show that the network security situation awareness method based on threat intelligence can reflect the changes in the network security situation and predict attack behaviors accurately.

Keywords
Situation awareness Threat intelligence Game theory Network security Nash equilibrium
Published
2021-11-02
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-89814-4_38
Copyright © 2021–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL