Privacy-preserving architecture for forensic image recognition

Andreas Peter, T. Hartman, S. Muller, S. Katzenbeisser

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    7 Citations (Scopus)
    194 Downloads (Pure)

    Abstract

    Forensic image recognition is an important tool in many areas of law enforcement where an agency wants to prosecute possessors of illegal images. The recognition of illegal images that might have undergone human imperceptible changes (e.g., a JPEG-recompression) is commonly done by computing a perceptual image hash function of a given image and then matching this hash with perceptual hash values in a database of previously collected illegal images. To prevent privacy violation, agencies should only learn about images that have been reliably detected as illegal and nothing else. In this work, we argue that the prevalent presence of separate departments in such agencies can be used to enforce the need-to-know principle by separating duties among them. This enables us to construct the first practically efficient architecture to perform forensic image recognition in a privacy-preserving manner. By deriving unique cryptographic keys directly from the images, we can encrypt all sensitive data and ensure that only illegal images can be recovered by the law enforcement agency while all other information remains protected.
    Original languageUndefined
    Title of host publicationIEEE International Workshop on Information Forensics and Security, WIFS 2012
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages79-84
    Number of pages6
    ISBN (Print)978-1-4673-2285-0
    DOIs
    Publication statusPublished - 5 Dec 2013
    EventIEEE International Workshop on Information Forensics and Security, WIFS 2012 - Tenerife, Spain
    Duration: 2 Dec 20125 Dec 2012

    Publication series

    NameInformation Forensics and Security (WIFS), 2012 IEEE International Workshop
    PublisherIEEE Computer Society
    Number13249609

    Workshop

    WorkshopIEEE International Workshop on Information Forensics and Security, WIFS 2012
    Period2/12/125/12/12
    Other2-5 December 2012

    Keywords

    • EWI-23752
    • SCS-Cybersecurity
    • Privacy-Preserving
    • IR-87350
    • Architecture
    • Forensic Image
    • METIS-300028
    • Recognition

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