Effectiveness of fully homomorphic encryption to preserve the privacy of biometric data

Wilson Abel Alberto Torres, Nandita Bhattacharjee, Bala Srinivasan

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

    Abstract

    Biometrics offers higher accuracy for personal recognition as well as provides greater security than traditional methods because of its properties. However, ironically, these properties are also weaknesses because biometric data is permanently linked with an individual and cannot be revoked or cancelled, especially when biometric data is compromised, which can lead to a serious privacy issue. By reviewing current approaches, fully homomorphic encryption (FHE) is considered as a promising solution for this privacy issue because of its ability to perform computations in the encrypted domain. We studied the effectiveness of FHE when it is used in biometric systems. The main contributions of this paper are the implementation of a privacy-preserving iris biometric authentication protocol adapted to lattice-based FHE and a sound security analysis of authentication and privacy. This work is concluded with some factors to be addressed to enhance privacy as well as some considerations to improve the performance of this implementation.
    Original languageEnglish
    Title of host publicationThe 16th International Conference on Information Integration and Web-Based Applications & Services, iiWAS 2014
    Subtitle of host publicationDecember 4-6, 2014, Hanoi, Vietnam [proceedings]
    EditorsMaria Indrawan-Santiago, Matthias Steinbauer, Hong-Quang Nguyen, A Min Tjoa, Ismail Khalil, Gabriele Anderst-Kotsis
    Place of PublicationNew York, New York
    PublisherAssociation for Computing Machinery (ACM)
    Pages152-158
    Number of pages7
    ISBN (Electronic)9781450330015
    DOIs
    Publication statusPublished - Dec 2014
    EventInformation Integration and Web-based Applications and Services 2014 - Hanoi, Vietnam
    Duration: 4 Dec 20146 Dec 2014
    Conference number: 16th

    Conference

    ConferenceInformation Integration and Web-based Applications and Services 2014
    Abbreviated titleiiWAS 2014
    CountryVietnam
    CityHanoi
    Period4/12/146/12/14

    Keywords

    • Fully homomorphic encryption
    • Biometric
    • Privacy-preserving

    Cite this

    Alberto Torres, W. A., Bhattacharjee, N., & Srinivasan, B. (2014). Effectiveness of fully homomorphic encryption to preserve the privacy of biometric data. In M. Indrawan-Santiago, M. Steinbauer, H-Q. Nguyen, A. M. Tjoa, I. Khalil, & G. Anderst-Kotsis (Eds.), The 16th International Conference on Information Integration and Web-Based Applications & Services, iiWAS 2014: December 4-6, 2014, Hanoi, Vietnam [proceedings] (pp. 152-158). New York, New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/2684200.2684296
    Alberto Torres, Wilson Abel ; Bhattacharjee, Nandita ; Srinivasan, Bala. / Effectiveness of fully homomorphic encryption to preserve the privacy of biometric data. The 16th International Conference on Information Integration and Web-Based Applications & Services, iiWAS 2014: December 4-6, 2014, Hanoi, Vietnam [proceedings]. editor / Maria Indrawan-Santiago ; Matthias Steinbauer ; Hong-Quang Nguyen ; A Min Tjoa ; Ismail Khalil ; Gabriele Anderst-Kotsis. New York, New York : Association for Computing Machinery (ACM), 2014. pp. 152-158
    @inproceedings{22ddda8f6af342db9f933e38c53f9537,
    title = "Effectiveness of fully homomorphic encryption to preserve the privacy of biometric data",
    abstract = "Biometrics offers higher accuracy for personal recognition as well as provides greater security than traditional methods because of its properties. However, ironically, these properties are also weaknesses because biometric data is permanently linked with an individual and cannot be revoked or cancelled, especially when biometric data is compromised, which can lead to a serious privacy issue. By reviewing current approaches, fully homomorphic encryption (FHE) is considered as a promising solution for this privacy issue because of its ability to perform computations in the encrypted domain. We studied the effectiveness of FHE when it is used in biometric systems. The main contributions of this paper are the implementation of a privacy-preserving iris biometric authentication protocol adapted to lattice-based FHE and a sound security analysis of authentication and privacy. This work is concluded with some factors to be addressed to enhance privacy as well as some considerations to improve the performance of this implementation.",
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    Alberto Torres, WA, Bhattacharjee, N & Srinivasan, B 2014, Effectiveness of fully homomorphic encryption to preserve the privacy of biometric data. in M Indrawan-Santiago, M Steinbauer, H-Q Nguyen, AM Tjoa, I Khalil & G Anderst-Kotsis (eds), The 16th International Conference on Information Integration and Web-Based Applications & Services, iiWAS 2014: December 4-6, 2014, Hanoi, Vietnam [proceedings]. Association for Computing Machinery (ACM), New York, New York, pp. 152-158, Information Integration and Web-based Applications and Services 2014, Hanoi, Vietnam, 4/12/14. https://doi.org/10.1145/2684200.2684296

    Effectiveness of fully homomorphic encryption to preserve the privacy of biometric data. / Alberto Torres, Wilson Abel; Bhattacharjee, Nandita; Srinivasan, Bala.

    The 16th International Conference on Information Integration and Web-Based Applications & Services, iiWAS 2014: December 4-6, 2014, Hanoi, Vietnam [proceedings]. ed. / Maria Indrawan-Santiago; Matthias Steinbauer; Hong-Quang Nguyen; A Min Tjoa; Ismail Khalil; Gabriele Anderst-Kotsis. New York, New York : Association for Computing Machinery (ACM), 2014. p. 152-158.

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

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    Alberto Torres WA, Bhattacharjee N, Srinivasan B. Effectiveness of fully homomorphic encryption to preserve the privacy of biometric data. In Indrawan-Santiago M, Steinbauer M, Nguyen H-Q, Tjoa AM, Khalil I, Anderst-Kotsis G, editors, The 16th International Conference on Information Integration and Web-Based Applications & Services, iiWAS 2014: December 4-6, 2014, Hanoi, Vietnam [proceedings]. New York, New York: Association for Computing Machinery (ACM). 2014. p. 152-158 https://doi.org/10.1145/2684200.2684296