Fuzzing Test Cases Generating Model Based on Genetic Algorithm

WANG Dan; GAO Feng; ZHU Lu-hua

Chinese

您当前的位置：

首页 >

文章列表页 >

Fuzzing Test Cases Generating Model Based on Genetic Algorithm

更新时间：2026-09-04

- Fuzzing Test Cases Generating Model Based on Genetic Algorithm
- Vol. 28, Issue 5, Pages: 130-134(2011)
- 作者机构：
  
  江南计算技术研究所,江苏,无锡,214083
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
移动端阅览
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.

WANG Dan, GAO Feng, ZHU Lu-hua. Fuzzing Test Cases Generating Model Based on Genetic Algorithm[J]. 2011, 28(5): 130-134.
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. DOI：

WANG Dan, GAO Feng, ZHU Lu-hua. Fuzzing Test Cases Generating Model Based on Genetic Algorithm[J]. 2011, 28(5): 130-134. DOI：

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.

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.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A GABP neural network based calibration algorithm for pipelined ADC

Secure cluster routing algorithm for wireless secure communication networks based on group permutation cipher

Research on graph reconstruction method based on neural network and genetic algorithm

UWB Indoor Positioning of Mobile Robot Based on GA-BP Neural Network

Research on Maximum flow Algorithm in Rechargeable Wireless Sensor Networks

Related Author

JIN Weiran

MU Chunlin

YANG Long

WANG Shuxing

WANG Wei

HAO Yaping

WANG Wei-yi

Related Institution

College of Electronics Engineering/International Semiconductor College, Chongqing University of Posts and Telecommunications

Information Technology Construction and Management Center, Changzhou Institute of Technology

Information Center, Changzhou Vocational Institute of Industry Technology

Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University

School of Information Science and Engineering, Wuhan University of Science and Technology

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰