带振动信号分析的数字门锁侧信道攻击:密码越长,安全性越高

Young-Mok Ha, Soohee Jang, Kwang-Won Kim, J. Yoon
{"title":"带振动信号分析的数字门锁侧信道攻击:密码越长,安全性越高","authors":"Young-Mok Ha, Soohee Jang, Kwang-Won Kim, J. Yoon","doi":"10.1109/MFI.2017.8170414","DOIUrl":null,"url":null,"abstract":"Digital door lock system is a widely used physical security system. It restricts unauthorized accesses and protects assets or private spaces. However, once its password has been exposed to unauthorized people, it becomes useless. In this paper, we propose a novel side channel attack model, which enables a cracking of a digital door lock password. We noted that when people press the key-lock button, irrespective of how careful they are, the generated vibrations differ with the location of the button pressed. Our model uses and analyzes the natural phenomenon of vibration to infer passwords. Under our attack, the ease of password inference depends on the number of distinguishable buttons rather than password length. The results of our experiments contradict the commonly held security principle that a longer password guarantees a higher level of security.","PeriodicalId":402371,"journal":{"name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Side channel attack on digital door lock with vibration signal analysis: Longer password does not guarantee higher security level\",\"authors\":\"Young-Mok Ha, Soohee Jang, Kwang-Won Kim, J. Yoon\",\"doi\":\"10.1109/MFI.2017.8170414\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital door lock system is a widely used physical security system. It restricts unauthorized accesses and protects assets or private spaces. However, once its password has been exposed to unauthorized people, it becomes useless. In this paper, we propose a novel side channel attack model, which enables a cracking of a digital door lock password. We noted that when people press the key-lock button, irrespective of how careful they are, the generated vibrations differ with the location of the button pressed. Our model uses and analyzes the natural phenomenon of vibration to infer passwords. Under our attack, the ease of password inference depends on the number of distinguishable buttons rather than password length. The results of our experiments contradict the commonly held security principle that a longer password guarantees a higher level of security.\",\"PeriodicalId\":402371,\"journal\":{\"name\":\"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MFI.2017.8170414\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI.2017.8170414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

数字门锁系统是一种应用广泛的物理安防系统。它限制未经授权的访问并保护资产或私人空间。然而,一旦它的密码暴露给未经授权的人,它就变得无用了。本文提出了一种新的侧信道攻击模型,实现了数字门锁密码的破解。我们注意到,当人们按下锁键时,无论他们多么小心,所产生的振动都会随着按下按钮的位置而不同。我们的模型使用并分析振动的自然现象来推断密码。在我们的攻击下,密码推断的难易程度取决于可区分按钮的数量,而不是密码长度。我们的实验结果与通常持有的安全原则相矛盾,即更长的密码保证更高的安全性。
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
Side channel attack on digital door lock with vibration signal analysis: Longer password does not guarantee higher security level
Digital door lock system is a widely used physical security system. It restricts unauthorized accesses and protects assets or private spaces. However, once its password has been exposed to unauthorized people, it becomes useless. In this paper, we propose a novel side channel attack model, which enables a cracking of a digital door lock password. We noted that when people press the key-lock button, irrespective of how careful they are, the generated vibrations differ with the location of the button pressed. Our model uses and analyzes the natural phenomenon of vibration to infer passwords. Under our attack, the ease of password inference depends on the number of distinguishable buttons rather than password length. The results of our experiments contradict the commonly held security principle that a longer password guarantees a higher level of security.
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
Deep reinforcement learning algorithms for steering an underactuated ship Data analytics development of FDR (Flight Data Recorder) data for airline maintenance operations Underwater Terrain Navigation Using Standard Sea Charts and Magnetic Field Maps Musculoskeletal model of a pregnant woman considering stretched rectus abdominis and co-contraction muscle activation Compressive sensing based data collection in wireless sensor networks
×
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