Software Technology Research
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 9
2679-2685

Generation of fuzzing test case based on recurrent neural networks

Xu Peng1
Liu Jiayong1
Lin Bo1
Sun Huiying2
Lei Bin3
1. College of Electronics & Information Engineering, Sichuan University, Chengdu 610065, China
2. Dept. of Data & Information, Sichuan Provincial Military District, Chengdu 610041, China
3. Troop 78100, Chengdu 610021, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0222

Abstract

The conventional generation method of the quality of the fuzzing test case is random variation and artificial protocol analysis, which have the problems of low blind efficiency and high complexity of construction. In view of the above problems, this paper proposed the use of deep learning technology to assist test case generation. Using the advantage of recurrent neural network to deal with character text sequences, it learnt training structure features through sample data, and predicted new data that conformed to structural features, and constructed an automatic generation model to combine with random mutation algorithm. By using LSTM and GRU algorithm model to generate and evaluate the input type test case of PDF files, the generated test cases ware better than conventional methods with better pass rate and coverage rate. With the help of recurrent neural network, the method achieved the advantages of fast and efficient construction and low difficulty of construction, and achieves the balance of generating effect and cost.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0222
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Software Technology Research
Pages: 2679-2685
Serial Number: 1001-3695(2019)09-026-2679-07

Publish History

[2019-09-05] Printed Article

Cite This Article

徐鹏, 刘嘉勇, 林波, 等. 基于循环神经网络的模糊测试用例生成 [J]. 计算机应用研究, 2019, 36 (9): 2679-2685. (Xu Peng, Liu Jiayong, Lin Bo, et al. Generation of fuzzing test case based on recurrent neural networks [J]. Application Research of Computers, 2019, 36 (9): 2679-2685. )

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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