Threat Scenario Dependency-Based Model of Information Security Risk Analysis

被引:0
|
作者
Rahmad, Basuki [1 ]
Supangkat, Suhono H. [2 ]
Sembiring, Jaka [2 ]
Surendro, Kridanto [2 ]
机构
[1] Inst Teknol Bandung, Sch Elect Engn & Informat STEI, Bandung, Indonesia
[2] Inst Teknol Bandung, STEI, Bandung, Indonesia
关键词
Security Risk Analysis; Threat Scenario Dependency; Bayesian Network;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Asset dependency paradigm can help us to represent the phenomena of risk dependency on the relevant assets. This paper is aimed to propose the information security risk analysis model, based on the threat-scenario dependency paradigm to represent the asset dependency. Two current approaches of asset dependency representation, threat dependency and security dimension dependency, still have limitations on consistency and the formulation of control's role to reduce the risk. The proposed model can improve the consistency of threats mapping and the control's roles to reduce the likelihood and degradation value of threat.
引用
收藏
页码:93 / 102
页数:10
相关论文
共 50 条
  • [31] Computer information systems threat analysis on security
    Li, Y
    Wei, J
    INNOVATIONS THROUGH INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2004, : 951 - 953
  • [32] An Information Security Threat Assessment Model based on Bayesian Network and OWA Operator
    Wu, Kehe
    Ye, Shichao
    APPLIED MATHEMATICS & INFORMATION SCIENCES, 2014, 8 (02): : 833 - 838
  • [33] Sentic patterns: Dependency-based rules for concept-level sentiment analysis
    Cambria, Erik (cambria@ntu.edu.sg), 1600, Elsevier B.V., Netherlands (69):
  • [34] Method of Constructing a Visualization of Threat Model of Information Security
    Manzhosov, A., V
    Bolodurina, I. P.
    2020 IEEE 14TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT2020), 2020,
  • [35] Improving information security risk analysis by including threat-occurrence predictive models
    Tubio Figueira, Pedro
    Lopez Bravo, Cristina
    Rivas Lopez, Jose Luis
    COMPUTERS & SECURITY, 2020, 88
  • [36] Arabic sentiment analysis using dependency-based rules and deep neural networks
    Diwali, Arwa
    Dashtipour, Kia
    Saeedi, Kawther
    Gogate, Mandar
    Cambria, Erik
    Hussain, Amir
    Applied Soft Computing, 2022, 127
  • [37] Sentic patterns: Dependency-based rules for concept-level sentiment analysis
    Cambria, Erik, 1600, Elsevier B.V., Netherlands (69):
  • [38] Sentic patterns: Dependency-based rules for concept-level sentiment analysis
    Poria, Soujanya
    Cambria, Erik
    Winterstein, Gregoire
    Huang, Guang-Bin
    KNOWLEDGE-BASED SYSTEMS, 2014, 69 : 45 - 63
  • [39] Threat analysis for space information network based on network security attributes: a review
    Xuesong Wu
    Ye Du
    Tao Fan
    Junyan Guo
    Jie Ren
    Runfang Wu
    Tianshuai Zheng
    Complex & Intelligent Systems, 2023, 9 : 3429 - 3468
  • [40] Threat analysis for space information network based on network security attributes: a review
    Wu, Xuesong
    Du, Ye
    Fan, Tao
    Guo, Junyan
    Ren, Jie
    Wu, Runfang
    Zheng, Tianshuai
    COMPLEX & INTELLIGENT SYSTEMS, 2023, 9 (03) : 3429 - 3468