程序计数器作为安全程序识别的集成电路度量

Kofi Appiah, X. Zhai, Shoaib Ehsan, Wah M. Cheung, Huosheng Hu, Dongbing Gu, K. Mcdonald-Maier, G. Howells
{"title":"程序计数器作为安全程序识别的集成电路度量","authors":"Kofi Appiah, X. Zhai, Shoaib Ehsan, Wah M. Cheung, Huosheng Hu, Dongbing Gu, K. Mcdonald-Maier, G. Howells","doi":"10.1109/EST.2013.23","DOIUrl":null,"url":null,"abstract":"Integrated Circuit Metrics is mainly concerned with the extraction of measurable properties or features of a given hardware device, capable of uniquely identifying the system's behaviour. This paper presents features that can be extracted from software executing on a device and identify the very software in execution. The main contribution of this paper is in two folds. The ability to extract features whiles the software is in execution as well as correctly identifying the software to divulge any tampering or malicious exploitation. Our aim is to use program counter values generated during program execution to train a k-means algorithm optimized for vector quantization, and later use the system to associate program counter values with an application.","PeriodicalId":213735,"journal":{"name":"2013 Fourth International Conference on Emerging Security Technologies","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Program Counter as an Integrated Circuit Metrics for Secured Program Identification\",\"authors\":\"Kofi Appiah, X. Zhai, Shoaib Ehsan, Wah M. Cheung, Huosheng Hu, Dongbing Gu, K. Mcdonald-Maier, G. Howells\",\"doi\":\"10.1109/EST.2013.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Integrated Circuit Metrics is mainly concerned with the extraction of measurable properties or features of a given hardware device, capable of uniquely identifying the system's behaviour. This paper presents features that can be extracted from software executing on a device and identify the very software in execution. The main contribution of this paper is in two folds. The ability to extract features whiles the software is in execution as well as correctly identifying the software to divulge any tampering or malicious exploitation. Our aim is to use program counter values generated during program execution to train a k-means algorithm optimized for vector quantization, and later use the system to associate program counter values with an application.\",\"PeriodicalId\":213735,\"journal\":{\"name\":\"2013 Fourth International Conference on Emerging Security Technologies\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on Emerging Security Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EST.2013.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Emerging Security Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EST.2013.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

集成电路度量学主要关注提取给定硬件设备的可测量属性或特征,能够唯一地识别系统的行为。本文提出了可以从设备上执行的软件中提取的特征,并识别正在执行的软件。本文的主要贡献体现在两个方面。在软件执行过程中提取功能的能力,以及正确识别软件以泄露任何篡改或恶意利用。我们的目标是使用程序执行过程中生成的程序计数器值来训练针对矢量量化优化的k-means算法,然后使用该系统将程序计数器值与应用程序相关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Program Counter as an Integrated Circuit Metrics for Secured Program Identification
Integrated Circuit Metrics is mainly concerned with the extraction of measurable properties or features of a given hardware device, capable of uniquely identifying the system's behaviour. This paper presents features that can be extracted from software executing on a device and identify the very software in execution. The main contribution of this paper is in two folds. The ability to extract features whiles the software is in execution as well as correctly identifying the software to divulge any tampering or malicious exploitation. Our aim is to use program counter values generated during program execution to train a k-means algorithm optimized for vector quantization, and later use the system to associate program counter values with an application.
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
期刊最新文献
Optimizing 2D Gabor Filters for Iris Recognition Program Counter as an Integrated Circuit Metrics for Secured Program Identification Feasibility of Using Gyro and EMG Fusion as a Multi-position Computer Interface for Amputees A Self-Organising Map Based Algorithm for Analysis of ICmetrics Features Bi-modal Human Machine Interface for Controlling an Intelligent Wheelchair
×
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