| Fuzzing测试中样本优化算法的分析与改进 |
| |
| 引用本文： | 于璐,沈毅.Fuzzing测试中样本优化算法的分析与改进[J].计算机安全,2011(4):17-20. |
| |
| 作者姓名： | 于璐 沈毅 |
| |
| 作者单位： | 解放军理工大学指挥自动化学院;解放军电子工程学院; |
| |
| 摘 要： | Fuzzing测试是一种基于缺陷注入的自动软件测试技术.近几年来,广泛应用于软件测试、安全漏洞挖掘等领域.Peach 是基于Fuzzing技术实现的跨平台测试框架,具有灵活性、可重用等特点,是Fuzzing测试的代表工具之一.Fuzzing测试要求对测试用例进行优化来提高测试效率,对Peach的样本优化工具minset...
|
| 关 键 词： | Fuzzing技术 Peach 漏洞挖掘 测试用例 |
Improvement and Analysis of Sample Optimization Algorithm for Fuzzing |
| |
| YU Lu,SHEN Yi.Improvement and Analysis of Sample Optimization Algorithm for Fuzzing[J].Network & Computer Security,2011(4):17-20. |
| |
| Authors: | YU Lu SHEN Yi |
| |
| Affiliation: | YU Lu1,SHEN Yi2(1.Institute of Command Automation,PLA University of Science & Technology,Nanjing,Jiangsu 210007,China,2.Electronic Engineering Institute of PLA,Hefei,Anhui 230037,China) |
| |
| Abstract: | Fuzzing is a new automatic software testing technology based on fault-injection technique and it is widely used on software testing and vulnerability mining field.Peach is a cross-platform testing framework based on Fuzzing technology and it is a representative Fuzzing tool for its flexibility and reuse quality.In order to improve efficiency,it needs to optimize Fuzzing testing cases.This paper analyses the function process of minset,which is the sample optimization tool for Peach,and modifies it.It has pro... |
| |
| Keywords: | Fuzzing Peach vulnerability mining testing cases |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
