An Uneven Distributed System for Dynamic Taint Analysis Framework

2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing Pub Date : 2015-11-03 DOI:10.1109/CSCloud.2015.20

Xuefei Wang, Hengtai Ma, Ke Yang, Hongliang Liang

{"title":"An Uneven Distributed System for Dynamic Taint Analysis Framework","authors":"Xuefei Wang, Hengtai Ma, Ke Yang, Hongliang Liang","doi":"10.1109/CSCloud.2015.20","DOIUrl":null,"url":null,"abstract":"Dynamic taint analysis has been widely used in software testing, debugging, vulnerability detection and other fields. A popular idea is that we can combine dynamic taint analysis with symbolic execution techniques or fuzz techniques forming the testing framework to test automatically. When testing large applications which costs longer time, a distributed system can be very practical. However, the common distributed system is load balancing which distributes tasks without considering the various performance of each machine, resulting that some machines with poor configuration will burden too much load. In this paper, we present an uneven distributed system, which splits the dynamic taint analysis framework into some modules, and then distributes the modules to different machines classified by their performance. The design and distribution method are all based on the feature of each module. In the studies, we applied the system to test 5 applications compared with the load balancing distributed system, and the results shows it can indeed distribute tasks uneven according to different performance.","PeriodicalId":278090,"journal":{"name":"2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCloud.2015.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

Abstract

Dynamic taint analysis has been widely used in software testing, debugging, vulnerability detection and other fields. A popular idea is that we can combine dynamic taint analysis with symbolic execution techniques or fuzz techniques forming the testing framework to test automatically. When testing large applications which costs longer time, a distributed system can be very practical. However, the common distributed system is load balancing which distributes tasks without considering the various performance of each machine, resulting that some machines with poor configuration will burden too much load. In this paper, we present an uneven distributed system, which splits the dynamic taint analysis framework into some modules, and then distributes the modules to different machines classified by their performance. The design and distribution method are all based on the feature of each module. In the studies, we applied the system to test 5 applications compared with the load balancing distributed system, and the results shows it can indeed distribute tasks uneven according to different performance.

查看原文本刊更多论文

动态污点分析框架的非均匀分布式系统

动态污点分析已广泛应用于软件测试、调试、漏洞检测等领域。一个流行的想法是，我们可以将动态污染分析与符号执行技术或模糊技术结合起来，形成测试框架来自动测试。当测试花费较长时间的大型应用程序时，分布式系统可能非常实用。然而，常见的分布式系统是负载均衡，分配任务时不考虑每台机器的各种性能，导致一些配置较差的机器负载过重。本文提出了一种非均匀分布式系统，该系统将动态污染分析框架划分为若干模块，然后将这些模块按性能分类分布到不同的机器上。设计和分配方法都是根据各个模块的特点进行的。在研究中，我们将该系统与负载均衡分布式系统进行对比，测试了5个应用程序，结果表明它确实可以根据不同的性能不均匀地分配任务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing

自引率

0.00%

发文量