System Development & Application
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3662-3666

Fuzzing test case generation method for industrial control protocol based on improved mutation-tree

Li Wenxuan1,2,3,4
Shang Wenli2,3,4,5
He Xiaojun1
Chen Chunyu2,3,4
Zeng Peng2,3,4,5
1. School of Automation & Electrical Engineering, Shenyang Ligong University, Shenyang 110159, China
2. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3. Institutes for Robotics & Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
4. Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China
5. University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

There are some problems of high redundancy, low test efficiency and strong randomness in the processing of fuzzing test for the existing application layer industrial control protocol, this paper proposed a test case generation method based on improved mutation-tree. The method performed tree structure on the protocol sample data sequence, extracted the field priority information in the protocol specification, and used it to effectively control the degree of variation of the attribute values of each node in the tree, thereby reducing test cost, improving test efficiency, and increasing the probability of exploiting vulnerabilities. The experimental results show that the test case generation method has significant optimization effect and vulnerability detection ability for improving the protocol fuzzy test performance.

Foundation Support

国家重点研发计划项目(2018YFB2004200)
中科院战略性先导科技专项项目(XDC02020200)
国家自然科学基金资助项目(61773368)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.07.0556
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: System Development & Application
Pages: 3662-3666
Serial Number: 1001-3695(2020)12-028-3662-05

Publish History

[2020-12-05] Printed Article

Cite This Article

李文轩, 尚文利, 和晓军, 等. 基于改进变异树的工控协议模糊测试用例生成方法 [J]. 计算机应用研究, 2020, 37 (12): 3662-3666. (Li Wenxuan, Shang Wenli, He Xiaojun, et al. Fuzzing test case generation method for industrial control protocol based on improved mutation-tree [J]. Application Research of Computers, 2020, 37 (12): 3662-3666. )

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  • Application Research of Computers Monthly Journal
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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.

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