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基于遗传算法的Fuzzing测试用例生成模型
引用本文:王丹,高丰,朱鲁华.基于遗传算法的Fuzzing测试用例生成模型[J].微电子学与计算机,2011,28(5):130-134,139.
作者姓名:王丹  高丰  朱鲁华
作者单位:江南计算技术研究所,江苏,无锡,214083
摘    要:将遗传算法运用到Fuzzing的数据生成过程中,根据具体的测试目标特点,对遗传算法的各个部分进行了定义,适应度函数的设计引入了代码覆盖率和多样性因素.对模型进行初步实现,实验证明了该模型在Fuzzing过程中引导测试方向的有效性.

关 键 词:Fuzzing  安全测试  遗传算法  代码覆盖

Fuzzing Test Cases Generating Model Based on Genetic Algorithm
WANG Dan,GAO Feng,ZHU Lu-hua.Fuzzing Test Cases Generating Model Based on Genetic Algorithm[J].Microelectronics & Computer,2011,28(5):130-134,139.
Authors:WANG Dan  GAO Feng  ZHU Lu-hua
Affiliation:WANG Dan,GAO Feng,ZHU Lu-hua(Jiangnan Institute of Computing Technology,Wuxi 214083,China)
Abstract:In this paper,genetic algorithm is applied to data generation process of Fuzzing.According to the specific characteristics of the test objective,all parts of genetic algorithm are defined specifically.The code coverage and diversity are the two factors to be introduced into the design of fitness function.The model is implemented preliminarily,and the experiment proves the validity to guide the testing direction in the process of Fuzzing.
Keywords:Fuzzing
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