Continuous User Authentication on Multiple Smart Devices

被引:3
|
作者
Wang, Yajie [1 ]
Zhang, Xiaomei [1 ]
Hu, Haomin [1 ]
机构
[1] Shanghai Univ Engn Sci, Sch Elect & Elect Engn, Shanghai 201620, Peoples R China
基金
中国国家自然科学基金;
关键词
multiple smart devices; privacy and security; continuous authentication; spatiotemporal convolutional neural network; confidence-based strategy; GAIT RECOGNITION; SENSOR;
D O I
10.3390/info14050274
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recent developments in the mobile and intelligence industry have led to an explosion in the use of multiple smart devices such as smartphones, tablets, smart bracelets, etc. To achieve lasting security after initial authentication, many studies have been conducted to apply user authentication through behavioral biometrics. However, few of them consider continuous user authentication on multiple smart devices. In this paper, we investigate user authentication from a new perspective-continuous authentication on multi-devices, that is, continuously authenticating users after both initial access to one device and transfer to other devices. In contrast to previous studies, we propose a continuous user authentication method that exploits behavioral biometric identification on multiple smart devices. In this study, we consider the sensor data captured by accelerometer and gyroscope sensors on both smartphones and tablets. Furthermore, multi-device behavioral biometric data are utilized as the input of our optimized neural network model, which combines a convolutional neural network (CNN) and a long short-term memory (LSTM) network. In particular, we construct two-dimensional domain images to characterize the underlying features of sensor signals between different devices and then input them into our network for classification. In order to strengthen the effectiveness and efficiency of authentication on multiple devices, we introduce an adaptive confidence-based strategy by taking historical user authentication results into account. This paper evaluates the performance of our multi-device continuous user authentication mechanism under different scenarios, and extensive empirical results demonstrate its feasibility and efficiency. Using the mechanism, we achieved mean accuracies of 99.8% and 99.2% for smartphones and tablets, respectively, in approximately 2.3 s, which shows that it authenticates users accurately and quickly.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Biometric based user authentication in smart phones
    Verma, Malika
    Sawhney, Radhike
    Chalia, Rashmi
    2017 INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING AND INFORMATION SYSTEMS (ICNGCIS), 2017, : 183 - 188
  • [42] Expanding Continuous Authentication with Mobile Devices
    Schaffer, Kim B.
    COMPUTER, 2015, 48 (11) : 92 - 95
  • [43] Flexible and Transparent User Authentication for Mobile Devices
    Clarke, Nathan
    Karatzouni, Sevasti
    Furnell, Steven
    EMERGING CHALLENGES FOR SECURITY, PRIVACY AND TRUST: 24TH IFIP TC 11 INTERNATIONAL INFORMATION SECURITY CONFERENCE, SEC 2009, PROCEEDINGS, 2009, 297 : 1 - 12
  • [44] LEARNING ON A BUDGET FOR USER AUTHENTICATION ON MOBILE DEVICES
    Kolosnjaji, Bojan
    Huefner, Antonia
    Eckert, Claudia
    Zarras, Apostolis
    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 2042 - 2046
  • [45] Trust-based authentication scheme with user rating for low-resource devices in smart environments
    Anas El Husseini
    Abdallah M’Hamed
    Bachar El Hassan
    Mounir Mokhtari
    Personal and Ubiquitous Computing, 2013, 17 : 1013 - 1023
  • [46] A chimerical dataset combining physiological and behavioral biometric traits for reliable user authentication on smart devices and ecosystems
    Gupta, Sandeep
    Buriro, Attaullah
    Crispo, Bruno
    DATA IN BRIEF, 2020, 28
  • [47] Trust-based authentication scheme with user rating for low-resource devices in smart environments
    El Husseini, Anas
    M'Hamed, Abdallah
    El Hassan, Bachar
    Mokhtari, Mounir
    PERSONAL AND UBIQUITOUS COMPUTING, 2013, 17 (05) : 1013 - 1023
  • [48] Secure UHF RFID Authentication With Smart Devices
    不详
    IEEE WIRELESS COMMUNICATIONS, 2023, 30 (05) : 6 - 6
  • [49] Secure UHF RFID Authentication With Smart Devices
    Li, Ang
    Li, Jiawei
    Zhang, Yan
    Han, Dianqi
    Li, Tao
    Zhang, Yanchao
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (07) : 4520 - 4533
  • [50] Fingerprint Authentication and Security Risks in Smart Devices
    Zafar, Muhammad Rehman
    Shah, Munam Ali
    2016 22ND INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC), 2016, : 549 - 554