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Security and Privacy in New Computing Environments. Third EAI International Conference, SPNCE 2020, Lyngby, Denmark, August 6-7, 2020, Proceedings

Research Article

MIMEC Based Information System Security Situation Assessment Model

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  • @INPROCEEDINGS{10.1007/978-3-030-66922-5_6,
        author={Lixia Xie and Liping Yan and Xugao Zhang and Hongyu Yang and Guangquan Xu and Jiyong Zhang},
        title={MIMEC Based Information System Security Situation Assessment Model},
        proceedings={Security and Privacy in New Computing Environments. Third EAI International Conference, SPNCE 2020, Lyngby, Denmark, August 6-7, 2020, Proceedings},
        proceedings_a={SPNCE},
        year={2021},
        month={1},
        keywords={Security situation Index system Interval number judgment matrix Entropy weight based cloud},
        doi={10.1007/978-3-030-66922-5_6}
    }
    
  • Lixia Xie
    Liping Yan
    Xugao Zhang
    Hongyu Yang
    Guangquan Xu
    Jiyong Zhang
    Year: 2021
    MIMEC Based Information System Security Situation Assessment Model
    SPNCE
    Springer
    DOI: 10.1007/978-3-030-66922-5_6
Lixia Xie1,*, Liping Yan1, Xugao Zhang1, Hongyu Yang1, Guangquan Xu2, Jiyong Zhang3
  • 1: Civil Aviation University of China
  • 2: Tianjin University
  • 3: Swiss Federal Institute of Technology in Lausanne
*Contact email: lxxie@126.com

Abstract

The accuracy of existing information system security situation assessment methods is affected by expert evaluation preferences. This paper proposes an Information System Security Situation Assessment Model (ISSSAM), which is based on the Modified Interval Matrix-Entropy Weight based Cloud (MIMEC). Based on the system security situation assessment index system, the interval number judgment matrix reflecting the relative importance of different indicators is modified to improve the objectivity of the indicator layer weight vector. Then, the entropy weight based cloud is used to quantify the criterion layer and the target layer security situation index, and the security level of the system is graded. The feasibility and effectiveness of this model are verified by the security situation assessment of the Departure Control System (DCS). Through the comparison and analysis of the evaluation results based on entropy weight coefficient method and traditional AHP method, it is shown that the model we proposed has good stability and reliability.

Keywords
Security situation Index system Interval number judgment matrix Entropy weight based cloud
Published
2021-01-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-66922-5_6
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