基于软件故障注入的设备驱动程序模糊错误处理代码

Zu-Ming Jiang, Jia-Ju Bai, J. Lawall, Shimin Hu
{"title":"基于软件故障注入的设备驱动程序模糊错误处理代码","authors":"Zu-Ming Jiang, Jia-Ju Bai, J. Lawall, Shimin Hu","doi":"10.1109/ISSRE.2019.00022","DOIUrl":null,"url":null,"abstract":"Device drivers remain a main source of runtime failures in operating systems. To detect bugs in device drivers, fuzzing has been commonly used in practice. However, a main limitation of existing fuzzing approaches is that they cannot effectively test error handling code. Indeed, these fuzzing approaches require effective inputs to cover target code, but much error handling code in drivers is triggered by occasional errors (such as insufficient memory and hardware malfunctions) that are not related to inputs. In this paper, based on software fault injection, we propose a new fuzzing approach named FIZZER, to test error handling code in device drivers. At compile time, FIZZER uses static analysis to recommend possible error sites that can trigger error handling code. During driver execution, by analyzing runtime information, it automatically fuzzes error-site sequences for fault injection to improve code coverage. We evaluate FIZZER on 18 device drivers in Linux 4.19, and in total find 22 real bugs. The code coverage is increased by over 15% compared to normal execution without fuzzing.","PeriodicalId":254749,"journal":{"name":"2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Fuzzing Error Handling Code in Device Drivers Based on Software Fault Injection\",\"authors\":\"Zu-Ming Jiang, Jia-Ju Bai, J. Lawall, Shimin Hu\",\"doi\":\"10.1109/ISSRE.2019.00022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Device drivers remain a main source of runtime failures in operating systems. To detect bugs in device drivers, fuzzing has been commonly used in practice. However, a main limitation of existing fuzzing approaches is that they cannot effectively test error handling code. Indeed, these fuzzing approaches require effective inputs to cover target code, but much error handling code in drivers is triggered by occasional errors (such as insufficient memory and hardware malfunctions) that are not related to inputs. In this paper, based on software fault injection, we propose a new fuzzing approach named FIZZER, to test error handling code in device drivers. At compile time, FIZZER uses static analysis to recommend possible error sites that can trigger error handling code. During driver execution, by analyzing runtime information, it automatically fuzzes error-site sequences for fault injection to improve code coverage. We evaluate FIZZER on 18 device drivers in Linux 4.19, and in total find 22 real bugs. The code coverage is increased by over 15% compared to normal execution without fuzzing.\",\"PeriodicalId\":254749,\"journal\":{\"name\":\"2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSRE.2019.00022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSRE.2019.00022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

设备驱动程序仍然是操作系统运行时故障的主要来源。为了检测设备驱动程序中的错误,模糊测试在实践中被广泛使用。然而,现有模糊测试方法的一个主要限制是它们不能有效地测试错误处理代码。实际上,这些模糊测试方法需要有效的输入来覆盖目标代码,但是驱动程序中的许多错误处理代码是由与输入无关的偶然错误(例如内存不足和硬件故障)触发的。本文在软件故障注入的基础上,提出了一种新的模糊测试方法FIZZER,用于测试设备驱动程序中的错误处理代码。在编译时,FIZZER使用静态分析来推荐可能触发错误处理代码的错误站点。在驱动程序执行过程中,通过分析运行时信息,自动模糊错误注入的错误位点序列,提高代码覆盖率。我们在Linux 4.19的18个设备驱动程序上评估了FIZZER,总共发现了22个真正的错误。与没有模糊测试的正常执行相比,代码覆盖率增加了15%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzing Error Handling Code in Device Drivers Based on Software Fault Injection
Device drivers remain a main source of runtime failures in operating systems. To detect bugs in device drivers, fuzzing has been commonly used in practice. However, a main limitation of existing fuzzing approaches is that they cannot effectively test error handling code. Indeed, these fuzzing approaches require effective inputs to cover target code, but much error handling code in drivers is triggered by occasional errors (such as insufficient memory and hardware malfunctions) that are not related to inputs. In this paper, based on software fault injection, we propose a new fuzzing approach named FIZZER, to test error handling code in device drivers. At compile time, FIZZER uses static analysis to recommend possible error sites that can trigger error handling code. During driver execution, by analyzing runtime information, it automatically fuzzes error-site sequences for fault injection to improve code coverage. We evaluate FIZZER on 18 device drivers in Linux 4.19, and in total find 22 real bugs. The code coverage is increased by over 15% compared to normal execution without fuzzing.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信