基于按键动态的用户身份验证在语言复杂性面前的功效

Q3 Computer Science
Sandip Dutta, Utpal Roy, Soumen Roy
{"title":"基于按键动态的用户身份验证在语言复杂性面前的功效","authors":"Sandip Dutta, Utpal Roy, Soumen Roy","doi":"10.2174/0126662558309578240705101526","DOIUrl":null,"url":null,"abstract":"\n\nThis study investigates the impact of language complexity on Keystroke\nDynamics (KD) and its implications for accurate KD-based user authentication system\nperformance in smartphones.\n\n\n\nThis research meticulously analyzes keystroke patterns using 160 volunteers, including\nboth frequently typed and infrequently typed texts. Our analysis of 12 anomaly detection\nalgorithms reveals that a simple text-based KD system consistently outperforms its complex\ncounterpart with superior Equal Error Rates (EERs).\n\n\n\nAs a result, the Scaled Manhattan anomaly detector achieves an EER of 2.48% for\nsimple text and an improvement over 2.98% for complex text. The incorporation of soft biometrics\nfurther enhances algorithmic performance, emphasizing strategies to build resilience\ninto KD-based user authentication systems.\n\n\n\nThroughout this study, the importance of text complexity is emphasized, and innovative\npathways are introduced to strengthen KD-based user authentication paradigms.\n","PeriodicalId":36514,"journal":{"name":"Recent Advances in Computer Science and Communications","volume":"55 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficacy of Keystroke Dynamics-Based User Authentication in the Face of Language Complexity\",\"authors\":\"Sandip Dutta, Utpal Roy, Soumen Roy\",\"doi\":\"10.2174/0126662558309578240705101526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nThis study investigates the impact of language complexity on Keystroke\\nDynamics (KD) and its implications for accurate KD-based user authentication system\\nperformance in smartphones.\\n\\n\\n\\nThis research meticulously analyzes keystroke patterns using 160 volunteers, including\\nboth frequently typed and infrequently typed texts. Our analysis of 12 anomaly detection\\nalgorithms reveals that a simple text-based KD system consistently outperforms its complex\\ncounterpart with superior Equal Error Rates (EERs).\\n\\n\\n\\nAs a result, the Scaled Manhattan anomaly detector achieves an EER of 2.48% for\\nsimple text and an improvement over 2.98% for complex text. The incorporation of soft biometrics\\nfurther enhances algorithmic performance, emphasizing strategies to build resilience\\ninto KD-based user authentication systems.\\n\\n\\n\\nThroughout this study, the importance of text complexity is emphasized, and innovative\\npathways are introduced to strengthen KD-based user authentication paradigms.\\n\",\"PeriodicalId\":36514,\"journal\":{\"name\":\"Recent Advances in Computer Science and Communications\",\"volume\":\"55 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Recent Advances in Computer Science and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0126662558309578240705101526\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Advances in Computer Science and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0126662558309578240705101526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

摘要

本研究调查了语言复杂性对智能手机按键动力学(KD)的影响及其对基于按键动力学的精确用户身份验证系统性能的影响。本研究使用 160 名志愿者对按键模式进行了细致分析,包括频繁输入和不频繁输入的文本。我们对 12 种异常检测算法的分析表明,基于简单文本的 KD 系统始终优于复杂文本的系统,其平均错误率(EER)非常高。软生物识别技术的加入进一步提高了算法性能,强调了在基于 KD 的用户身份验证系统中建立弹性的策略。整个研究强调了文本复杂性的重要性,并引入了创新途径来加强基于 KD 的用户身份验证范例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficacy of Keystroke Dynamics-Based User Authentication in the Face of Language Complexity
This study investigates the impact of language complexity on Keystroke Dynamics (KD) and its implications for accurate KD-based user authentication system performance in smartphones. This research meticulously analyzes keystroke patterns using 160 volunteers, including both frequently typed and infrequently typed texts. Our analysis of 12 anomaly detection algorithms reveals that a simple text-based KD system consistently outperforms its complex counterpart with superior Equal Error Rates (EERs). As a result, the Scaled Manhattan anomaly detector achieves an EER of 2.48% for simple text and an improvement over 2.98% for complex text. The incorporation of soft biometrics further enhances algorithmic performance, emphasizing strategies to build resilience into KD-based user authentication systems. Throughout this study, the importance of text complexity is emphasized, and innovative pathways are introduced to strengthen KD-based user authentication paradigms.
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
Recent Advances in Computer Science and Communications
Recent Advances in Computer Science and Communications Computer Science-Computer Science (all)
CiteScore
2.50
自引率
0.00%
发文量
142
×
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