Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (7): 1046-1057.doi: 10.23940/ijpe.20.07.p7.10461057

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An Evaluation Method of Network Security Situation using Data Fusion Theory

Zhongwei Zhaoa, Yong Pengb, Jianhua Huangb, Tingting Zhouc,*, and Huan Wangb   

  1. aSchool of Special Education of Changchun University, 6543 Weixing Road, Changchun, 130022, China;
    bGuangxi University of Science and Technology, 268 Avenue Donghuan, Liuzhou, 545006, China;
    cAffiliated Hospital of Changchun University of Chinese Medicine, 1478 Gongneng Road, Changchun, 130000, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: * E-mail address: 26460109@qq.com
  • About author:Zhongwei Zhao received his master's degree from Changchun University of Chinese Medicine. He is currently an associate professor in the School of Special Education at Changchun University. His research interest includes TCM informatization and medical aids. Yong Peng received his B.S. degree in industrial automation from Guangxi University of Technology and his M.S. degree in software engineering from Beijing University of Technology. He is currently an engineer in the College of Computer Science and Communication Engineering at Guangxi University of Science and Technology. His research interests include computer network and information security. Jianhua Huang received his B.S. degree in mathematics and applied mathematics from Yuxi Normal University in 2007 and his M.S. degree in computational mathematics from Yunnan University. He has been an engineer in the College of Computer Science and Communication Engineering at Guangxi University of Science and Technology since 2010. His research interests include information fusion and information security. Tingting Zhou received her bachelor's degree from Jilin University in 2009. She is currently a supervisor in the Affiliated Hospital at Changchun University Of Chinese Medicine. Her research interest includes TCM informatization and medical aids. Huan Wang received his B.S., M.S., and Ph.D. degrees in computer science and technology from Changchun University of Science and Technology in 2009, 2012, and 2017, respectively. From 2012 to 2019, he was a lecturer in the College of Computer Science and Technology at Changchun University of Science and Technology. Since 2019, he has been an associate researcher in the School of Computer Science and Communications Engineering at Guangxi University of Science and Technology. His research interest includes network and information security and high reliability software.

Abstract: Network security situation awareness can effectively grasp the macro-security situation of the network, but the evaluation process still face problems such as single data source and big accuracy deviation. Therefore, this paper proposes a network security situation awareness model and method based on D-S theory. Using PCA clustering, the model preprocesses alarm information and eliminates useless alarm information to reduce time costs in evaluation. Based on improved D-S evidence theory, multi-source alarm data fusion rules are established to improve accuracy in event detection. Three situation awareness indicators of vulnerability, threat, and asset importance are set up to quantify the situation indicators and form an intuitive situation display. The experimental comparison analysis indicates that the model proposed herein can accurately assess the network security situation.

Key words: data fusion, security events, situation awareness