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

Wilson Abel Alberto Torres; Nandita Bhattacharjee; Bala Srinivasan

doi:10.1145/2684200.2684296

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 proceeding › Conference Paper › Research › peer-review

10 Citations (Scopus)

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 language	English
Title of host publication	The 16^th International Conference on Information Integration and Web-Based Applications & Services, iiWAS 2014
Subtitle of host publication	December 4-6, 2014, Hanoi, Vietnam [proceedings]
Editors	Maria Indrawan-Santiago, Matthias Steinbauer, Hong-Quang Nguyen, A Min Tjoa, Ismail Khalil, Gabriele Anderst-Kotsis
Place of Publication	New York, New York
Publisher	Association for Computing Machinery (ACM)
Pages	152-158
Number of pages	7
ISBN (Electronic)	9781450330015
DOIs	https://doi.org/10.1145/2684200.2684296
Publication status	Published - Dec 2014
Event	Information Integration and Web-based Applications and Services 2014 - Hanoi, Vietnam Duration: 4 Dec 2014 → 6 Dec 2014 Conference number: 16th https://dl.acm.org/doi/proceedings/10.1145/2684200 (Proceedings)

Conference

Conference	Information Integration and Web-based Applications and Services 2014
Abbreviated title	iiWAS 2014
Country/Territory	Vietnam
City	Hanoi
Period	4/12/14 → 6/12/14
Internet address	https://dl.acm.org/doi/proceedings/10.1145/2684200 (Proceedings)

Keywords

Fully homomorphic encryption
Biometric
Privacy-preserving

Access to Document

10.1145/2684200.2684296

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 16^th International Conference on Information Integration and Web-Based Applications & Services, iiWAS 2014: December 4-6, 2014, Hanoi, Vietnam [proceedings] (pp. 152-158). 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 16^th 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

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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.",

keywords = "Fully homomorphic encryption, Biometric, Privacy-preserving",

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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 16^th 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 16^th 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 proceeding › Conference Paper › Research › peer-review

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AU - Bhattacharjee, Nandita

AU - Srinivasan, Bala

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PY - 2014/12

Y1 - 2014/12

N2 - 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.

AB - 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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ER -

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 HQ, Tjoa AM, Khalil I, Anderst-Kotsis G, editors, The 16^th 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 doi: 10.1145/2684200.2684296

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

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