Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 4
1161-1165

Vulnerability risk assessment and mitigation method combining dynamic and static features

Ye Ziwei
Guo Yuanbo
Ju Ankang
Information Engineering University, Zhengzhou 450000, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0759

Abstract

Aiming at improving the accuracy of vulnerability risk assessment, this paper proposed a vulnerability risk asses-sment and mitigation method combining dynamic and static features. The method took fixed features such as attack complexity, impact degree and attack vector, which were commonly used in traditional risk assessment methods, as static features, and took the features such as defense capability, vulnerability repair and attacker's attack capability that maybe changed over time as dynamic features. The method combined the two kinds of features to make a more comprehensive assessment of the risk of vulnerabilities. Then this paper gave quantitative calculation method of each feature in practice and the recommendation method of vulnerability repair strategy. To verify the method, it took the risk assessment process of single vulnerability and the risk assessment results of multiple vulnerabilities as examples, and compared the results with CVSS scores. The experimental results show that the proposed method can provide more accurate vulnerability risk assessment results and reasonable vulnerability repair strategy in combination with specific network environment, thus demonstrates the feasibility and effectiveness of the method.

Foundation Support

国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0759
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Technology of Information Security
Pages: 1161-1165
Serial Number: 1001-3695(2020)04-044-1161-05

Publish History

[2020-04-05] Printed Article

Cite This Article

叶子维, 郭渊博, 琚安康. 动静态特征结合的漏洞风险评估及缓解方法 [J]. 计算机应用研究, 2020, 37 (4): 1161-1165. (Ye Ziwei, Guo Yuanbo, Ju Ankang. Vulnerability risk assessment and mitigation method combining dynamic and static features [J]. Application Research of Computers, 2020, 37 (4): 1161-1165. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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