A quantitative framework for network resilience evaluation using Dynamic Bayesian Network

被引：0
|
作者：
Jiang, Shanqing [1 ,2 ,3 ]
Yang, Lin [2 ]
Cheng, Guang [1 ,3 ]
Gao, Xianming [2 ]
Feng, Tao [2 ]
Zhou, Yuyang [1 ,3 ]
机构：
[1] School of Cyber Science and Engineering, Southeast University, Nanjing, China
[2] National Key Laboratory of Science and Technology on Information System Security, Beijing, China
[3] Key Laboratory of Computer Network and Information Integration, Ministry of Education, Nanjing, China
来源：
Computer Communications | 2022年 / 194卷
关键词：
This work was supported in part by the National Key Research and Development Program of China under Grant 2020YFB1804604; the General Program of the National Natural Science Foundation of China under Grant 62172093; China Postdoctoral Science Foundation ( 2022M710677 ) and in part by Jiangsu Funding Program for Excellent Postdoctoral Talent; China;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：387 / 398
相关论文
共 50 条
  • [41] Research of trust evaluation model based on dynamic Bayesian network
    Liang, H.-Q., 1600, Editorial Board of Journal on Communications (34):
  • [42] A Framework for Improving Network Resilience Using SDN and Fog Nodes
    Modarresi, Amir
    Gangadhar, Siddharth
    Sterbenz, James P. G.
    PROCEEDINGS OF 2017 9TH INTERNATIONAL WORKSHOP ON RESILIENT NETWORKS DESIGN AND MODELING (RNDM), 2017,
  • [43] Using Bayesian network on network tomography
    Zhu, WP
    COMPUTER COMMUNICATIONS, 2003, 26 (02) : 155 - 163
  • [44] Developing the framework for evaluation of the inherent static resilience of the access to care network
    AminShokravi A.
    Heravi G.
    Journal of Cleaner Production, 2020, 267
  • [45] Developing the framework for evaluation of the inherent static resilience of the access to care network
    AminShokravi, Amir
    Heravi, Gholamreza
    JOURNAL OF CLEANER PRODUCTION, 2020, 267
  • [46] Nonlinear system identification using a recurrent network in a Bayesian framework
    Brusaferri, Alessandro
    Matteueei, Matte
    Portolani, Pietro
    Spinelli, Stefano
    2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2019, : 319 - 324
  • [47] Conceptual Framework - Hazard Assessment of Nanomaterials Using Bayesian Network
    Abidin, Mardhati Zainal
    Rusli, Risza
    Halil, Norsuzieanah
    PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2020, 28 : 1 - 13
  • [48] RESEARCH ON QUANTITATIVE EVALUATION OF NETWORK SECURITY BASED ON ZACHMAN FRAMEWORK
    Hu, Jingjing
    He, Yichao
    Liu, Chen
    Yan, Huaizhi
    Hu, Changzhen
    JOURNAL OF NONLINEAR AND CONVEX ANALYSIS, 2019, 20 (05) : 865 - 878
  • [49] Evaluation for the Resilience of Distribution Network
    Chen, Tao
    Yang, Xiuzhong
    Chen, Chong
    Deng, Chuang
    Wu, Han
    Wu, Jiayu
    2020 5TH ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2020), 2020, : 2071 - 2076
  • [50] A Framework for Including Uncertainty in Robustness Evaluation of Bayesian Neural Network Classifiers
    Essbai, Wasim
    Bombarda, Andrea
    Bonfanti, Silvia
    Gargantini, Angelo
    PROCEEDINGS OF THE 2024 IEEE/ACM INTERNATIONAL WORKSHOP ON DEEP LEARNING FOR TESTING AND TESTING FOR DEEP LEARNING, DEEPTEST 2024, 2024, : 25 - 32
12345