面向智能手机的自适应触屏持续认证方案

姜奇; 文悦; 张瑞杰; 魏福山; 马建峰

doi:10.12263/DZXB.20210624

您当前的位置：

首页 >

文章列表页 >

面向智能手机的自适应触屏持续认证方案

学术论文 | 更新时间：2025-12-08

- 面向智能手机的自适应触屏持续认证方案
- An Adaptive Touchscreen Based Continuous Authentication Scheme for Smart Phones
- 电子学报 2022年50卷第5期页码：1131-1139
- 作者机构：
  
  1.西安电子科技大学网络与信息安全学院, 陕西西安 710126
  2.河南省网络密码技术实验室，河南郑州 450001
  3.战略支援部队信息工程大学密码工程学院，河南郑州 450001
  4.战略支援部队信息工程大学网络空间安全学院，河南郑州 450001
- 作者简介：
  
  [ "姜奇男,1983年9月出生于安徽省全椒县.现为西安电子科技大学网络与信息安全学院教授、博士生导师.主要研究方向为密码协议,物联网安全.在国内外发表学术论文80余篇.E-mail: jiangqixdu@gmail.com" ]
  [ "文悦女,1997年7月出生于陕西省铜川市.现为西安电子科技大学网络与信息安全学院研究生,主要研究方向为生物认证.E-mail: wen2586645609@163.com" ]
  [ "张瑞杰女,1984年生于河南郑州,博士，战略支援部队信息工程大学三院讲师.主要研究方向为人工智能、网络信息防御等.E-mail: rjz_wonder@163.com" ]
  [ "魏福山男,1983年生于甘肃省武威市.现为战略支援部队信息工程大学四院副教授，博士生导师.主要研究方向为安全协议设计与分析.E-mail: weifs831020@163.com" ]
  [ "马建峰男,1963年生于陕西西安.西安电子科技大学网络与信息安全学院教授,博士生导师.研究方向为密码学、计算机网络与信息安全．E-mail: jfma@mail.xidian.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(62072352;61772548;61872449);陕西省教育厅科研计划项目资助(20JY016);中央高校基本科研业务费资助项目
- DOI：10.12263/DZXB.20210624
  中图分类号： TP391.4
- 收稿：2021-05-17，
  
  修回：2021-08-17，
  
  纸质出版：2022-05-25
- 稿件说明：
移动端阅览
姜奇,文悦,张瑞杰等.面向智能手机的自适应触屏持续认证方案[J].电子学报,2022,50(05):1131-1139.

JIANG Qi,WEN Yue,ZHANG Rui-jie,et al.An Adaptive Touchscreen Based Continuous Authentication Scheme for Smart Phones[J].ACTA ELECTRONICA SINICA,2022,50(05):1131-1139.
姜奇,文悦,张瑞杰等.面向智能手机的自适应触屏持续认证方案[J].电子学报,2022,50(05):1131-1139. DOI： 10.12263/DZXB.20210624.

JIANG Qi,WEN Yue,ZHANG Rui-jie,et al.An Adaptive Touchscreen Based Continuous Authentication Scheme for Smart Phones[J].ACTA ELECTRONICA SINICA,2022,50(05):1131-1139. DOI： 10.12263/DZXB.20210624.

摘要

近年来，智能手机的触屏认证受到了广泛的关注. 现有的认证方案在受外界环境影响时认证能力会下降，为提高认证的稳定性和安全性，本文对基于触屏时触控传感器行为和运动传感器行为的双模态认证进行了研究. 然而，双模态认证系统复杂度增加且会带来大量的资源消耗，因此，本文提出一种自适应触屏持续认证方案.其可根据上下文参数自适应地选择不同强度的认证策略，达到了降低认证系统复杂度以及能耗的目的，实验表明该方案在提供足够设备安全性的同时使能耗降低50%以上.

Abstract

Touchscreen-based authentication has received widespread attention for smart phone. Since the existing authentication schemes are vulnerable to the external environment

we mainly study the dual-modal authentication including touch sensor behavior and motion sensor behavior when touching the screen

so as to improve the security of authentication. However

the complexity of the dual-modal authentication system increases; and will bring a lot of CPU(Central Processing Unit) resources and power consumption. Therefore

we propose an adaptive touch screen continuous authentication method

which can adaptively select the authentication strength according to the context

and reduce the complexity and energy consumption of the authentication system by avoiding the use of motion sensor behavior authentication when the touch screen is used. And experiments show that the method can reduce energy consumption by more than 50% while providing sufficient smartphone safety.

关键词

Keywords

references

PATEL V M , CHELLAPPA R , CHANDRA D , et al . Continuous user authentication on mobile devices: recent progress and remaining challenges [J]. IEEE Signal Processing Magazine , 2016 , 33 ( 4 ): 49 ‑ 61 .

ABUHAMAD M , ABUSNAINA A , NYANG D H , et al . Sensor-based continuous authentication of smartphones' users using behavioral biometrics: a survey [J]. IEEE Internet of Things Journal , 2020 , 8 ( 1 ): 65 ‑ 84 .

徐国愚 , 苗许娜 , 张俊峰 , 等 . 面向移动终端的隐式身份认证机制综述 [J]. 计算机工程与应用 , 2018 , 54 ( 6 ): 19 ‑ 25 .

XU Guoyu , MIAO Xuna , ZHANG Junfeng , et al . Review of implicit authentication for mobile devices [J]. Computer Engineering and Applications , 2018 , 54 ( 06 ): 19 ‑ 25 .

FRANK M , BIEDERT R , MA E , et al . Touchalytics: on the applicability of touchscreen input as a behavioral biometric for continuous authentication [J]. IEEE Transactions on Information Forensics and Security , 2012 , 8 ( 1 ): 136 ‑ 148 .

FIERREZ J , POZO A , MARTINEZ-DIAZ M , et al . Benchmarking touchscreen biometrics for mobile authentication [J]. IEEE Transactions on Information Forensics and Security , 2018 , 13 ( 11 ): 2720 ‑ 2733 .

SHEN C , LI Y , CHEN Y , et al . Performance analysis of multi-motion sensor behavior for active smartphone authentication [J]. IEEE Transactions on Information Forensics and Security , 2017 , 13 ( 1 ): 48 ‑ 62 .

SITOVÁ Z , ŠEDĚNKA J , YANG Q , et al . HMOG: new behavioral biometric features for continuous authentication of smartphone users [J]. IEEE Transactions on Information Forensics & Security , 2016 , 11 ( 5 ): 877 ‑ 892 .

CHENG B , ZHANG L , LI X Y , et al . SilentSense: silent user identification via touch and movement behavioral biometrics [C]// Proceedings of the 19th Annual International Conference on Mobile Computing Networking MobiCom . New York : Association for Computing Machinery , 2013 : 187 ‑ 190 .

LEE W , LEE R B . Multi-sensor authentication to improve smartphone security [C]// 2015 International Conference on Information Systems Security and Privacy . France : IEEE , 2015 : 1 ‑ 11 .

ROSS A , POH N . Multibiometric Systems: Overview, Case Studies and Open Issues [M]. Germany : Springer , 2014 : 273 ‑ 192 .

PHOHA V V , SERWADDA A . When kids'toys breach mobile phone security [C]// Proceedings of the 2013 ACM SIGSAC Conference on Computer & Communications Security . Berlin : Association for Computing Machinery , 2013 : 559 ‑ 610 .

EBERZ S , LOVISOTTO G , PATANÈ A , et al . When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts [C]// 2018 IEEE Symposium on Security and Privacy . San Francisco : IEEE , 2018 : 889 ‑ 905 .

NAMBIAR A , BERNARDINO A , NASCIMENTO J C , et al . Context-aware person re-identification in the wild via fusion of gait and anthropometric features [C]// IEEE International Conference on Automatic Face & Gesture Recognition . Washington : IEEE , 2017 : 973 ‑ 980 .

SANDIP K , VIJAY K , et al . Multibiometric fusion strategy and its applications: A review [J]. Information Fusion , 2019 , 49 ( 1566-2535 ): 174 ‑ 204 .

FRIDMAN L , WEBER S , GREENSTADT R , et al . Active authentication on mobile devices via stylometry, application usage, web browsing, and GPS location [J]. IEEE Systems Journal , 2017 , 11 ( 2 ): 513 ‑ 521 .

MAHBUB U , KOMULAINEN J , FERREIRA D , et al . Continuous authentication of smartphones based on application usage [J]. IEEE Transactions on Biometrics, Behavior, and Identity Science , 2019 , 1 ( 3 ): 165 ‑ 180 .

SHEMA A , ACUNA D E . Show me your APP usage and I will tell who your close friends are: predicting user's context from simple cellphone activity [C]// CHI Conference Extended Abstracts on Human Factors in Computing Systems . Denver Colorado : Association for Computing Machinery , 2017 : 2929 ‑ 2935 .

CRANSHAW J , TOCH E , HONG J I , et al . Bridging the gap between physical location and online social networks [C]//Ubiquitous Computing, 12th International Conference. Copenhagen : Social Science Research Network , 2010 : 26 ‑ 29 .

STANLEY F C , JOSHUA G . An empirical study of smoothing techniques for language modeling [J]. Computer Speech & Language , 1999 , 13 ( 4 ): 359 ‑ 394 .

QING Y , GE P , DAVID T , et al . A multimodal data set for evaluating continuous authentication performance in smartphones [C]// Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems . New York : Association for Computing Machinery , 2014 : 358 ‑ 359 .

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

面向交通场景基于双注意力机制和自适应代价卷的自监督单目深度估计

基于自适应多重线性卡尔曼陷波的互调干扰抑制

自适应迭代最小二乘支持向量机回归算法

自适应免疫克隆选择文化算法