Cloud-based biometrics processing for privacy-preserving identification

Changhee Hahn, Hyungjune Shin, Junbeom Hur

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

    2 Citations (Scopus)

    Abstract

    With the increasing number of users enrolled, biometric identification requires more computing resources to scan all records of a database and locate the best match. As such, database owners are willing to delegate user biometric information (in encrypted state) to the cloud to enroll and identify users, while preserving privacy. Wang et al. proposed a cloud-based privacy-preserving biometric scheme, a.k.a. CloudBI, in ESORICS 2015, but their security assumption does not capture practical aspects of real world attacks. In this paper, we show how an attack enrolls fake biometric data and then manipulates them to recover encrypted an identification request in CloudBI. Next, we propose an effective security patch to CloudBI, which is secure against enrollment-level attackers. Experimental results show that the proposed security patch bring about little performance degradation to CloudBI.

    Original languageEnglish
    Title of host publicationICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks
    PublisherIEEE Computer Society
    Pages595-600
    Number of pages6
    ISBN (Electronic)9781509047499
    DOIs
    Publication statusPublished - 2017 Jul 26
    Event9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 - Milan, Italy
    Duration: 2017 Jul 42017 Jul 7

    Publication series

    NameInternational Conference on Ubiquitous and Future Networks, ICUFN
    ISSN (Print)2165-8528
    ISSN (Electronic)2165-8536

    Other

    Other9th International Conference on Ubiquitous and Future Networks, ICUFN 2017
    Country/TerritoryItaly
    CityMilan
    Period17/7/417/7/7

    Bibliographical note

    Publisher Copyright:
    © 2017 IEEE.

    Keywords

    • Biometrics
    • Cloud
    • Identification

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture

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