Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 3
680-684

Fuzzy test method for industrial control protocol combining genetic algorithm

Zhang Guanyu1,2,3
Shang Wenli1,3,4,5
Zhang Bowen1,3,4,5
Chen Chunyu1,3,4,5
Zhang Rui2
1. Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China
2. School of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China
3. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
4. Institutes for Robotics & Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
5. University of Chinese Academy of Sciences, Beijing 100049, China
DOI: 10.19734/j.issn.1001-3695.2020.03.0048

Abstract

Fuzzy test has good applicability in the exploitation of vulnerabilities in industrial control protocols. However, the traditional fuzzy test has the disadvantages of large test workload and a high failure rate. In order to solve these problems, this paper designed an industrial control protocol fuzzy tester GA-Fuzzer which combined genetic algorithm and fuzzy test, and proposed the concepts of dangerous points and case space model based on dimensional transformation. In GA-Fuzzer, it constructed a more efficient dynamic fitness function, and designed dynamic mutation and crossover operators to optimize test cases. In the same experimental environment, it used open source fuzzy test method Peach and GA-Fuzzer to test the target. The results show that GA-Fuzzer can effectively improve the premature convergence problem of traditional genetic algorithm, and compared to Peach, the number of cases used to achieve the same test expectation is reduced by 27.20% and the test time is reduced by 34.82%.

Foundation Support

国家重点研发计划项目(2018YFB2004200)
国家自然科学基金项目(61773368)
2019年工业互联网创新发展工程—工业企业网络安全综合防护平台资助项目
国家电网公司科技项目(52110418001B)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.03.0048
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 3
Section: Algorithm Research & Explore
Pages: 680-684
Serial Number: 1001-3695(2021)03-007-0680-05

Publish History

[2021-03-05] Printed Article

Cite This Article

张冠宇, 尚文利, 张博文, 等. 一种结合遗传算法的工控协议模糊测试方法 [J]. 计算机应用研究, 2021, 38 (3): 680-684. (Zhang Guanyu, Shang Wenli, Zhang Bowen, et al. Fuzzy test method for industrial control protocol combining genetic algorithm [J]. Application Research of Computers, 2021, 38 (3): 680-684. )

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  • 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.

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