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Security Measurement for Unknown Threats Based on Attack Preferences
Joint Authors
Binxing, Fang
Guo, Yunchuan
Li, Fenghua
Yin, Lihua
Sun, Yanwei
Wang, Zhen
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-20
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Security measurement matters to every stakeholder in network security.
It provides security practitioners the exact security awareness.
However, most of the works are not applicable to the unknown threat.
What is more, existing efforts on security metric mainly focus on the ease of certain attack from a theoretical point of view, ignoring the “likelihood of exploitation.” To help administrator have a better understanding, we analyze the behavior of attackers who exploit the zero-day vulnerabilities and predict their attack timing.
Based on the prediction, we propose a method of security measurement.
In detail, we compute the optimal attack timing from the perspective of attacker, using a long-term game to estimate the risk of being found and then choose the optimal timing based on the risk and profit.
We design a learning strategy to model the information sharing mechanism among multiattackers and use spatial structure to model the long-term process.
After calculating the Nash equilibrium for each subgame, we consider the likelihood of being attacked for each node as the security metric result.
The experiment results show the efficiency of our approach.
American Psychological Association (APA)
Yin, Lihua& Sun, Yanwei& Wang, Zhen& Guo, Yunchuan& Li, Fenghua& Binxing, Fang. 2018. Security Measurement for Unknown Threats Based on Attack Preferences. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1214355
Modern Language Association (MLA)
Yin, Lihua…[et al.]. Security Measurement for Unknown Threats Based on Attack Preferences. Security and Communication Networks No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1214355
American Medical Association (AMA)
Yin, Lihua& Sun, Yanwei& Wang, Zhen& Guo, Yunchuan& Li, Fenghua& Binxing, Fang. Security Measurement for Unknown Threats Based on Attack Preferences. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1214355
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214355