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动态资源感知的并行化模糊测试框架

廉美 邹燕燕 霍玮 邹维

计算机应用研究2017,Vol.34Issue(1):52-57,6.
计算机应用研究2017,Vol.34Issue(1):52-57,6.DOI:10.3969/j.issn.1001-3695.2017.01.010

动态资源感知的并行化模糊测试框架

Dynamic resource awareness framework for parallel fuzzing

廉美 1邹燕燕 2霍玮 1邹维1

作者信息

  • 1. 中国科学院信息工程研究所 网络安全防护技术北京市重点实验室,北京 100093
  • 2. 中国科学院大学,北京 100049
  • 折叠

摘要

Abstract

It is not trivial to apply current parallel fuzzing techniques on large scale cluster directly,due to its limitation on testing efficiency,resource usage and system fault tolerance.This paper proposed a dynamic resource-aware approach,which could systematically tackle the problem from the generation,the usage and the fault tolerance of testing resources.To building the large scale testing cluster quickly,it described a cloud-based dynamic building approach to reduce the generation time.For the low utilization problem of testing resources,it proposed a multi-level dynamic scheduling police to improve the overall re-course usage and the single node workload.In order to make test continually,it proposed a priority-based fault tolerant method. Finally,it finished a general parallel fuzzing framework,which based on a four-stage pipeline structure.The experiment shows that the framework is very effective in respect to the parallel efficiency,resource usage,and fault tolerance.

关键词

漏洞挖掘/并行模糊测试/资源感知/测试框架/云平台

Key words

vulnerability/parallel fuzzing test/resource awareness/testing framework/cloud infrastructure

分类

信息技术与安全科学

引用本文复制引用

廉美,邹燕燕,霍玮,邹维..动态资源感知的并行化模糊测试框架[J].计算机应用研究,2017,34(1):52-57,6.

基金项目

国家“863”计划资助项目 ()

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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