2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDIFS-4.1
Paper Title Highly Efficient Protection of Biometric Face Samples with Selective JPEG2000 Encryption
Authors Heinz Hofbauer, Paris Lodron University of Salzburg, Austria; Yoanna Martínez-Díaz, Advanced Technologies Application Center (CENATAV), Cuba; Simon Kirchgasser, Paris Lodron University of Salzburg, Austria; Heydi Méndez-Vázquez, Advanced Technologies Application Center (CENATAV), Cuba; Andreas Uhl, Paris Lodron University of Salzburg, Cuba
SessionIFS-4: Surveillance, Biometrics and Security
LocationGather.Town
Session Time:Wednesday, 09 June, 16:30 - 17:15
Presentation Time:Wednesday, 09 June, 16:30 - 17:15
Presentation Poster
Topic Information Forensics and Security: [BIO] Biometrics
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract When biometric databases grow larger, a security breach or leak can affect millions. In order to protect against such a threat, the use of encryption is a natural choice. However, a biometric identification attempt then requires the decryption of a potential huge database, making a traditional approach potentially unfeasible. The use of selective JPEG2000 encryption can reduce the encryption's computational load and enable a secure storage of biometric sample data. In this paper we will show that selective encryption of face biometric samples is secure. We analyze various encoding settings of JPEG2000, selective encryption parameters on the ``Labeled Faces in the Wild'' database and apply several traditional and deep learning based face recognition methods.