Edge Network Security Risk Control Based on Attack and Defense Map

Author:

Shi Lin123ORCID,Wang Zilong1,Zeng Yixuan4

Affiliation:

1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, Jiangsu, P. R. China

2. School of Cyber Science and Engineering, Southeast University, Nanjing 210096, Jiangsu, P. R. China

3. Jiangsu Financial Information Management Center, Nanjing 210024, Jiangsu, P. R. China

4. College of Liberal Arts, Nanjing University of Information and Science Technology, Nanjing 210044, Jiangsu, P. R. China

Abstract

The standardized communication protocol and the universal application of intelligent electronic devices in edge networks provide technical support to the realization of smart cities and also bring network security issues that cannot be ignored. How to analyze and quantitatively assess the vulnerability of the edge network has become an important issue that needs to be solved urgently in the edge network security risk control. Based on the analysis of the vulnerability mechanism, this paper proposes the selection criteria and generation methods of vulnerability indicators and of composite vulnerability indicators, respectively. In addition, this paper proposes an improved vulnerability severity rating method to analyze the vulnerability of the system and potential security threats. This paper describes the security risk status of vulnerable points based on the state transition of the state offensive and defensive graph and implements the description of the security risk status of attacks in terms of attack frequency, attack success rate and harm. Experimental results justify the effectiveness of the proposed solution.

Funder

National Social Sciences

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Simulation Research on Computer Network Attack and Defense Model Based on Particle Swarm Optimization Algorithm;2023 2nd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI);2023-10-17

2. A cross-chain model with underlying security and scalability based on quantum algorithm;2023-05-26

3. A Survey on Privacy Protection of Cross-Chain;Advances in Artificial Intelligence and Security;2022

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