A Novel Method for Fuzzing Test Cases Generating Based on Genetic Algorithm

LIU Yuan; YANG Yong-hui; ZHANG Chun-rui; WANG Wei

doi:10.3969/j.issn.0372-2112.2017.03.007

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A Novel Method for Fuzzing Test Cases Generating Based on Genetic Algorithm

更新时间：2025-07-16

- A Novel Method for Fuzzing Test Cases Generating Based on Genetic Algorithm
- Acta Electronica Sinica Vol. 45, Issue 3, Pages: 552-556(2017)
- 作者机构：
  
  中国工程物理研究院计算机应用研究所,四川,绵阳,621900
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2017.03.007
  CLC： TN311.5
- Published：2017
- 稿件说明：
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LIU Yuan, YANG Yong-hui, ZHANG Chun-rui, et al. A Novel Method for Fuzzing Test Cases Generating Based on Genetic Algorithm[J]. Acta Electronica Sinica, 2017, 45(3): 552-556.
DOI：

LIU Yuan, YANG Yong-hui, ZHANG Chun-rui, et al. A Novel Method for Fuzzing Test Cases Generating Based on Genetic Algorithm[J]. Acta Electronica Sinica, 2017, 45(3): 552-556. DOI： 10.3969/j.issn.0372-2112.2017.03.007.

摘要

本文根据传统漏洞挖掘Fuzzing技术的特点，针对其存在的不能求解非线性解和只能有单个的输入的问题，提出了一种基于遗传算法的漏洞挖掘测试用例生成的新方法.该方法能够利用遗传算法的优势，同时可以应对多输入测试用例问题和非线性求解问题.从自测程序的结果看出，相比于传统随机生成Fuzzing测试用例的方法，本方案在效率和覆盖率方面具有明显的提高.

Abstract

Considering the features of the traditional Fuzzing technology

a method is proposed for Fuzzing test case generating in vulnerability exploiting

which is aimed at nonlinear solution and single input problem.This method takes advantage of the genetic algorithm and deals with those two problems mentioned above.The experiment results show that

the proposed solution has an obvious improvement compared with the early method which generates the test cases randomly.

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