Stream cipher hash based execution monitoring (SCHEM) framework for intrusion detection on embedded processors

A. Chaudhari, J. Abraham
{"title":"Stream cipher hash based execution monitoring (SCHEM) framework for intrusion detection on embedded processors","authors":"A. Chaudhari, J. Abraham","doi":"10.1109/IOLTS.2012.6313864","DOIUrl":null,"url":null,"abstract":"Hardware based execution monitoring of applications holds the promise for an effective and tamper-proof solution for intrusion detection on processor. This paper presents a practical hardware based intrusion detection framework which uses stream cipher based hashing techniques for runtime control flow and instruction integrity monitoring. This framework enables accurate monitoring of the control flow of a process with an instruction level granularity. Additional hardware required for implementation of our framework has very low power and area overheads which makes it possible to practically implement execution monitoring even on embedded processors. Our technique achieves an order of magnitude lower power overhead compared to other similar techniques. Furthermore, our implementation of the developed framework has a low intrusion detection latency, which enables us to verify the control flow integrity of the executing code before the violating control flow instructions are retired from the processor pipeline.","PeriodicalId":246222,"journal":{"name":"2012 IEEE 18th International On-Line Testing Symposium (IOLTS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 18th International On-Line Testing Symposium (IOLTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IOLTS.2012.6313864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Hardware based execution monitoring of applications holds the promise for an effective and tamper-proof solution for intrusion detection on processor. This paper presents a practical hardware based intrusion detection framework which uses stream cipher based hashing techniques for runtime control flow and instruction integrity monitoring. This framework enables accurate monitoring of the control flow of a process with an instruction level granularity. Additional hardware required for implementation of our framework has very low power and area overheads which makes it possible to practically implement execution monitoring even on embedded processors. Our technique achieves an order of magnitude lower power overhead compared to other similar techniques. Furthermore, our implementation of the developed framework has a low intrusion detection latency, which enables us to verify the control flow integrity of the executing code before the violating control flow instructions are retired from the processor pipeline.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于流密码哈希的嵌入式处理器入侵检测执行监控框架
基于硬件的应用程序执行监控有望为处理器上的入侵检测提供有效且防篡改的解决方案。本文提出了一种实用的基于硬件的入侵检测框架,该框架采用基于流密码的哈希技术进行运行时控制流和指令完整性监控。该框架支持对具有指令级粒度的流程的控制流进行精确监控。实现我们的框架所需的额外硬件具有非常低的功耗和面积开销,这使得即使在嵌入式处理器上也可以实际实现执行监视。与其他类似技术相比,我们的技术实现了一个数量级的低功耗开销。此外,我们开发的框架的实现具有较低的入侵检测延迟,这使我们能够在违反控制流指令从处理器管道中退役之前验证执行代码的控制流完整性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Analysis of FinFET technology on memories Fault missing rate analysis of the arithmetic residue codes based fault-tolerant FIR filter design Fault coverage of a timing and control flow checker for hard real-time systems Architectural vulnerability aware checkpoint placement in a multicore processor A real-case application of a synergetic design-flow-oriented SER analysis
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1