An HMM-based behavior modeling approach for continuous mobile authentication

Aditi Roy, Tzipora Halevi, Nasir Memon

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper studies continuous authentication for touch interface based mobile devices. A Hidden Markov Model (HMM) based behavioral template training approach is presented, which does not require training data from other subjects other than the owner of the mobile. The stroke patterns of a user are modeled using a continuous left-right HMM. The approach models the horizontal and vertical scrolling patterns of a user since these are the basic and mostly used interactions on a mobile device. The effectiveness of the proposed method is evaluated through extensive experiments using the Toucha-lytics database which comprises of touch data over time. The results show that the performance of the proposed approach is better than the state-of-the-art method.

    Original languageEnglish (US)
    Title of host publication2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages3789-3793
    Number of pages5
    ISBN (Print)9781479928927
    DOIs
    StatePublished - 2014
    Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
    Duration: May 4 2014May 9 2014

    Other

    Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
    CountryItaly
    CityFlorence
    Period5/4/145/9/14

    Fingerprint

    Hidden Markov models
    Mobile devices
    Authentication
    Experiments

    Keywords

    • Behavioral biometric
    • Continuous authentication
    • Hidden Markov Model
    • Security
    • Touch pattern

    ASJC Scopus subject areas

    • Signal Processing
    • Software
    • Electrical and Electronic Engineering

    Cite this

    Roy, A., Halevi, T., & Memon, N. (2014). An HMM-based behavior modeling approach for continuous mobile authentication. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 (pp. 3789-3793). [6854310] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6854310

    An HMM-based behavior modeling approach for continuous mobile authentication. / Roy, Aditi; Halevi, Tzipora; Memon, Nasir.

    2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3789-3793 6854310.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Roy, A, Halevi, T & Memon, N 2014, An HMM-based behavior modeling approach for continuous mobile authentication. in 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014., 6854310, Institute of Electrical and Electronics Engineers Inc., pp. 3789-3793, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy, 5/4/14. https://doi.org/10.1109/ICASSP.2014.6854310
    Roy A, Halevi T, Memon N. An HMM-based behavior modeling approach for continuous mobile authentication. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3789-3793. 6854310 https://doi.org/10.1109/ICASSP.2014.6854310
    Roy, Aditi ; Halevi, Tzipora ; Memon, Nasir. / An HMM-based behavior modeling approach for continuous mobile authentication. 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3789-3793
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