User input pattern-based authentication method to prevent mobile e-financial incidents

Hojin Seo, Huy Kang Kim

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

    5 Citations (Scopus)

    Abstract

    Owing to the increase in the use of mobile banking services, mobile banking has become an attractive target for attackers. Even though many security measures are taken with current mobile services, some threats against mobile devices such as physical theft or penetration from the remote side are still unsolved. We proposed a novel approach to prevent e-financial incidents by analyzing the input patterns of mobile banking users such as how long it takes a user to input data into a mobile device, and the normal finger pressure levels when using a touch screen. We can distinguish the differences between an original user's usage pattern and an attacker's usage pattern. The proposed method shows high accuracy and is effective in proactive preventing e-financial incidents.

    Original languageEnglish
    Title of host publicationProceedings - 9th IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops, ISPAW 2011 - ICASE 2011, SGH 2011, GSDP 2011
    Pages382-387
    Number of pages6
    DOIs
    Publication statusPublished - 2011
    Event9th IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops, ISPAW 2011 - 2011, ICASE 2011, SGH 2011, GSDP 2011 - Busan, Korea, Republic of
    Duration: 2011 May 262011 May 28

    Publication series

    NameProceedings - 9th IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops, ISPAW 2011 - ICASE 2011, SGH 2011, GSDP 2011

    Other

    Other9th IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops, ISPAW 2011 - 2011, ICASE 2011, SGH 2011, GSDP 2011
    Country/TerritoryKorea, Republic of
    CityBusan
    Period11/5/2611/5/28

    Keywords

    • Biometric
    • E-financial security
    • Input pattern analysis
    • Mobile authentication
    • Neural network

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Software

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