电子学报2017，Vol.45Issue(3)：552-556,5.DOI:10.3969/j.issn.0372-2112.2017.03.007
一种基于遗传算法的Fuzzing测试用例生成新方法
A Novel Method for Fuzzing Test Cases Generating Based on Genetic Algorithm
摘要
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.关键词
遗传算法/非线性求解/多维Fuzzing技术Key words
genetic algorithm/nonlinearity solution/multidimensional fuzzing technology分类
信息技术与安全科学引用本文复制引用
刘渊,杨永辉,张春瑞,王伟..一种基于遗传算法的Fuzzing测试用例生成新方法[J].电子学报,2017,45(3):552-556,5.基金项目
中国工程物理研究院科学技术发展基金(No.2014A0403020) （No.2014A0403020）
中国工程物理研究院网络安全与可信软件重点实验室基金(No.J-2014-KF-01) （No.J-2014-KF-01）
