Construction and Security Measurement of Cybersecurity Metrics Framework Based on Network Behavior

Xiaolin Zhao, Jingjing Zhao, Xiaoyi Jiang, Xiaoyu Zhang, Wentai Zhang

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

Cyberspace security involves national security, enterprise security, personal privacy security and so on, which has been paid more and more attention by the state. Cyberspace security measurement is an important step to protect any network. The important premise is to establish a reasonable and universal security measurement framework for network systems. But the network is very complex, and the network security state is changing all the time. Existing information security models lack the description of network behavior. Aiming at this problem, in this paper, the existing information security models at home and abroad are compared and analysed, and their advantages and disadvantages are summarized. Based on PDR (Protection, Detection, Response) model, this paper adds management functions, and optimizes the original concept of PDR model. On this basis, we add characteristic measurement, efficiency measurement and impact measurement to form 12 indicators to dynamically reveal the evolution mechanism of security characteristics measurement indicators. AHP is used to distribute the weight of each dimension, and the network is evaluated quantitatively from four dimensions: detection, protection, response and management. The framework of the proposed metric framework is verified by experiments.

Original languageEnglish
Article number022069
JournalJournal of Physics: Conference Series
Volume1302
Issue number2
DOIs
Publication statusPublished - 3 Sept 2019
Event2019 4th Annual International Conference on Information System and Artificial Intelligence, ISAI 2019 - Changsha, Hunan, China
Duration: 17 May 201918 May 2019

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Zhao, X., Zhao, J., Jiang, X., Zhang, X., & Zhang, W. (2019). Construction and Security Measurement of Cybersecurity Metrics Framework Based on Network Behavior. Journal of Physics: Conference Series, 1302(2), Article 022069. https://doi.org/10.1088/1742-6596/1302/2/022069