耳-脑电一步三因素认证的可行性及性能探讨

Max T. Curran, Nick Merrill, Swapan Gandhi, J. Chuang
{"title":"耳-脑电一步三因素认证的可行性及性能探讨","authors":"Max T. Curran, Nick Merrill, Swapan Gandhi, J. Chuang","doi":"10.5220/0006896300300041","DOIUrl":null,"url":null,"abstract":"Multi-factor authentication presents a robust method to secure our private information, but typically requires multiple actions by the user resulting in a high cost to usability and limiting adoption. A usable system should also be unobtrusive and inconspicuous. We present and discuss a system with the potential to engage all three factors of authentication (inherence, knowledge, and possession) in a single step using an earpiece that implements brain-based authentication using electroencephalography (EEG). We demonstrate its potential by collecting EEG data using manufactured custom-fit earpieces with embedded electrodes and testing a variety of authentication scenarios. Across all participants’ best-performing “passthoughts”, we are able to achieve 0% false acceptance and 0.36% false rejection rates, for an overall accuracy of 99.82%, using one earpiece with three electrodes. Furthermore, we find no successful attempts simulating impersonation attacks. We also report on perspectives from our participants. Our results suggest that a relatively inexpensive system using a single electrode-laden earpiece could provide a discreet, convenient, and robust method for one-step multi-factor authentication.","PeriodicalId":326453,"journal":{"name":"International Conference on Physiological Computing Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the Feasibility and Performance of One-step Three-factor Authentication with Ear-EEG\",\"authors\":\"Max T. Curran, Nick Merrill, Swapan Gandhi, J. Chuang\",\"doi\":\"10.5220/0006896300300041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multi-factor authentication presents a robust method to secure our private information, but typically requires multiple actions by the user resulting in a high cost to usability and limiting adoption. A usable system should also be unobtrusive and inconspicuous. We present and discuss a system with the potential to engage all three factors of authentication (inherence, knowledge, and possession) in a single step using an earpiece that implements brain-based authentication using electroencephalography (EEG). We demonstrate its potential by collecting EEG data using manufactured custom-fit earpieces with embedded electrodes and testing a variety of authentication scenarios. Across all participants’ best-performing “passthoughts”, we are able to achieve 0% false acceptance and 0.36% false rejection rates, for an overall accuracy of 99.82%, using one earpiece with three electrodes. Furthermore, we find no successful attempts simulating impersonation attacks. We also report on perspectives from our participants. Our results suggest that a relatively inexpensive system using a single electrode-laden earpiece could provide a discreet, convenient, and robust method for one-step multi-factor authentication.\",\"PeriodicalId\":326453,\"journal\":{\"name\":\"International Conference on Physiological Computing Systems\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Physiological Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0006896300300041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Physiological Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0006896300300041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

多因素身份验证提供了一种可靠的方法来保护我们的私人信息,但通常需要用户进行多次操作,从而导致高可用性成本和限制采用。一个可用的系统也应该是不引人注目的。我们提出并讨论了一个系统,该系统使用使用脑电图(EEG)实现基于大脑的身份验证的耳机,可以在一个步骤中包含所有三个身份验证因素(固有,知识和拥有)。我们通过使用内置电极的定制耳机收集EEG数据并测试各种身份验证场景来展示其潜力。在所有参与者表现最好的“passthoughts”中,我们能够实现0%的错误接受率和0.36%的错误拒绝率,使用一个带有三个电极的耳机,总体准确率为99.82%。此外,我们没有发现模拟模拟攻击的成功尝试。我们也会报道参与者的观点。我们的研究结果表明,使用单个电极负载耳机的相对便宜的系统可以为一步多因素认证提供谨慎,方便和稳健的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Feasibility and Performance of One-step Three-factor Authentication with Ear-EEG
Multi-factor authentication presents a robust method to secure our private information, but typically requires multiple actions by the user resulting in a high cost to usability and limiting adoption. A usable system should also be unobtrusive and inconspicuous. We present and discuss a system with the potential to engage all three factors of authentication (inherence, knowledge, and possession) in a single step using an earpiece that implements brain-based authentication using electroencephalography (EEG). We demonstrate its potential by collecting EEG data using manufactured custom-fit earpieces with embedded electrodes and testing a variety of authentication scenarios. Across all participants’ best-performing “passthoughts”, we are able to achieve 0% false acceptance and 0.36% false rejection rates, for an overall accuracy of 99.82%, using one earpiece with three electrodes. Furthermore, we find no successful attempts simulating impersonation attacks. We also report on perspectives from our participants. Our results suggest that a relatively inexpensive system using a single electrode-laden earpiece could provide a discreet, convenient, and robust method for one-step multi-factor authentication.
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:604180095
Book学术官方微信