增强手机安全性:基于超声波和传感器融合的持久性手机保护方法,集防盗和身份验证于一体

IF 4.8 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Computers & Security Pub Date : 2024-10-28 DOI:10.1016/j.cose.2024.104176
Jie Zhang , Lei Xie , Lang He , Zhongmin Wang , Jing Chen
{"title":"增强手机安全性:基于超声波和传感器融合的持久性手机保护方法,集防盗和身份验证于一体","authors":"Jie Zhang ,&nbsp;Lei Xie ,&nbsp;Lang He ,&nbsp;Zhongmin Wang ,&nbsp;Jing Chen","doi":"10.1016/j.cose.2024.104176","DOIUrl":null,"url":null,"abstract":"<div><div>With the rapid development of the Internet of Things, cell phones inevitably involve people’s privacy and property information. Therefore, ensuring cell phone security is of great importance. Current cell phone protection methods include cell phone anti-theft and identity authentication, but each has limitations. Cell phone anti-theft methods focus on preventing cell phone loss but do not adequately address privacy security. Identity authentication emphasizes privacy protection but overlooks the cell phone’s security. Previous studies have achieved these two methods through ultrasonic or sensors. However, ultrasonic-based methods are limited by sensing distance and are inconvenient to use. Sensor-based methods do not detect subtle movements and may have shortcomings in terms of security. This study proposes an ultrasonic and sensor fusion-based persistent cell phone protection method integrating anti-theft and identity authentication. Unlike past work, this study uses ultrasonic and inertial sensors to capture motion data of users with different granularity, and provide multifaceted protection for cell phones through anti-theft when taking up the cell phone (ATWTP) and gait identity authentication (GTIA). Our intuition in the design is that each individual has unique movements and gait patterns, resulting in differences in the collected data from ultrasonic and inertial sensors. These differences can be used to achieve persistent protection of the cell phone. This study combines the strengths of sensors and ultrasonic through multimodal fusion and designs a system that incorporates system-triggered event detection (STED), ATWTP, and GTIA. The results demonstrate that the proposed design achieves an accuracy of 96.88% in protecting cell phones.</div></div>","PeriodicalId":51004,"journal":{"name":"Computers & Security","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhanced cell phone security: An ultrasonic and sensor fusion-based persistent cell phone protection method integrating anti-theft & identity authentication\",\"authors\":\"Jie Zhang ,&nbsp;Lei Xie ,&nbsp;Lang He ,&nbsp;Zhongmin Wang ,&nbsp;Jing Chen\",\"doi\":\"10.1016/j.cose.2024.104176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the rapid development of the Internet of Things, cell phones inevitably involve people’s privacy and property information. Therefore, ensuring cell phone security is of great importance. Current cell phone protection methods include cell phone anti-theft and identity authentication, but each has limitations. Cell phone anti-theft methods focus on preventing cell phone loss but do not adequately address privacy security. Identity authentication emphasizes privacy protection but overlooks the cell phone’s security. Previous studies have achieved these two methods through ultrasonic or sensors. However, ultrasonic-based methods are limited by sensing distance and are inconvenient to use. Sensor-based methods do not detect subtle movements and may have shortcomings in terms of security. This study proposes an ultrasonic and sensor fusion-based persistent cell phone protection method integrating anti-theft and identity authentication. Unlike past work, this study uses ultrasonic and inertial sensors to capture motion data of users with different granularity, and provide multifaceted protection for cell phones through anti-theft when taking up the cell phone (ATWTP) and gait identity authentication (GTIA). Our intuition in the design is that each individual has unique movements and gait patterns, resulting in differences in the collected data from ultrasonic and inertial sensors. These differences can be used to achieve persistent protection of the cell phone. This study combines the strengths of sensors and ultrasonic through multimodal fusion and designs a system that incorporates system-triggered event detection (STED), ATWTP, and GTIA. The results demonstrate that the proposed design achieves an accuracy of 96.88% in protecting cell phones.</div></div>\",\"PeriodicalId\":51004,\"journal\":{\"name\":\"Computers & Security\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Security\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167404824004814\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Security","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167404824004814","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

随着物联网的快速发展,手机不可避免地会涉及到人们的隐私和财产信息。因此,确保手机安全显得尤为重要。目前的手机保护方法包括手机防盗和身份验证,但每种方法都有其局限性。手机防盗方法侧重于防止手机丢失,但没有充分解决隐私安全问题。身份验证强调隐私保护,但忽略了手机的安全性。以往的研究通过超声波或传感器实现了这两种方法。然而,基于超声波的方法受到感应距离的限制,使用不便。基于传感器的方法无法检测到细微动作,在安全性方面可能存在缺陷。本研究提出了一种基于超声波和传感器融合的持久性手机保护方法,集防盗和身份验证于一体。与以往的研究不同,本研究利用超声波和惯性传感器捕捉不同粒度的用户运动数据,并通过拿起手机时的防盗(ATWTP)和步态身份验证(GTIA)为手机提供多方面的保护。我们在设计中的直觉是,每个人都有独特的动作和步态模式,从而导致从超声波和惯性传感器收集到的数据存在差异。这些差异可用于实现对手机的持久保护。本研究通过多模态融合将传感器和超声波的优势结合起来,并设计了一个包含系统触发事件检测(STED)、ATWTP 和 GTIA 的系统。结果表明,所提出的设计在保护手机方面达到了 96.88% 的准确率。
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
Enhanced cell phone security: An ultrasonic and sensor fusion-based persistent cell phone protection method integrating anti-theft & identity authentication
With the rapid development of the Internet of Things, cell phones inevitably involve people’s privacy and property information. Therefore, ensuring cell phone security is of great importance. Current cell phone protection methods include cell phone anti-theft and identity authentication, but each has limitations. Cell phone anti-theft methods focus on preventing cell phone loss but do not adequately address privacy security. Identity authentication emphasizes privacy protection but overlooks the cell phone’s security. Previous studies have achieved these two methods through ultrasonic or sensors. However, ultrasonic-based methods are limited by sensing distance and are inconvenient to use. Sensor-based methods do not detect subtle movements and may have shortcomings in terms of security. This study proposes an ultrasonic and sensor fusion-based persistent cell phone protection method integrating anti-theft and identity authentication. Unlike past work, this study uses ultrasonic and inertial sensors to capture motion data of users with different granularity, and provide multifaceted protection for cell phones through anti-theft when taking up the cell phone (ATWTP) and gait identity authentication (GTIA). Our intuition in the design is that each individual has unique movements and gait patterns, resulting in differences in the collected data from ultrasonic and inertial sensors. These differences can be used to achieve persistent protection of the cell phone. This study combines the strengths of sensors and ultrasonic through multimodal fusion and designs a system that incorporates system-triggered event detection (STED), ATWTP, and GTIA. The results demonstrate that the proposed design achieves an accuracy of 96.88% in protecting cell phones.
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
Computers & Security
Computers & Security 工程技术-计算机:信息系统
CiteScore
12.40
自引率
7.10%
发文量
365
审稿时长
10.7 months
期刊介绍: Computers & Security is the most respected technical journal in the IT security field. With its high-profile editorial board and informative regular features and columns, the journal is essential reading for IT security professionals around the world. Computers & Security provides you with a unique blend of leading edge research and sound practical management advice. It is aimed at the professional involved with computer security, audit, control and data integrity in all sectors - industry, commerce and academia. Recognized worldwide as THE primary source of reference for applied research and technical expertise it is your first step to fully secure systems.
期刊最新文献
GRAIN: Graph neural network and reinforcement learning aided causality discovery for multi-step attack scenario reconstruction Multi-perspective API call sequence behavior analysis and fusion for malware classification Adversarial attacks based on time-series features for traffic detection Thread-sensitive fuzzing for concurrency bug detection Enhanced cell phone security: An ultrasonic and sensor fusion-based persistent cell phone protection method integrating anti-theft & identity authentication
×
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