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Efficient implementation of cancelable face recognition based on elliptic curve cryptography

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Abstract

Most modern authentication systems adopt human biometrics to avoid the shortcomings that result from forgetting passwords and security codes utilized in traditional systems. To increase the security level of the original biometric traits against offensive attacks, cancelable biometric patterns are generated from the original ones to control the system access. This paper presents a new approach for cancelable face recognition based on the concept of Elliptic Curve Cryptography (ECC). The ECC has been classified as a public-key (asymmetric) encryption technique. In public-key encryption, each user (transmitter and receiver) has two keys: a public key and a private key. The proposed framework guarantees full distortion and encryption of the original biometric traits to be saved in the database to completely hide them for intruders. To validate the proposed approach, three sets of face biometric databases have been used. The Receiver Operating Characteristic (ROC) curve and correlation scores are estimated to test the performance. The simulation results prove that the proposed approach is efficient, robust and it achieves promising results.

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Acknowledgements

The researchers would like to acknowledge Deanship of Scientific Research, Taif University for funding this work.

Funding

The researchers would like to acknowledge Deanship of Scientific Research, Taif University for funding this work.

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Authors and Affiliations

  1. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    Rania A. Eltaieb, Walid El-Shafai & Fathi E. Abd El-Samie

  2. Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    Ghada M. El-Banby

  3. Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh, 11586, Saudi Arabia

    Walid El-Shafai

  4. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh , 11671, Saudi Arabia

    Fathi E. Abd El-Samie

  5. Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia

    Alaa M. Abbas

Authors
  1. Rania A. Eltaieb
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  2. Ghada M. El-Banby
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  3. Walid El-Shafai
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  4. Fathi E. Abd El-Samie
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All authors equally contributed.

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Correspondence to Walid El-Shafai.

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Eltaieb, R.A., El-Banby, G.M., El-Shafai, W. et al. Efficient implementation of cancelable face recognition based on elliptic curve cryptography. Opt Quant Electron 55, 841 (2023). https://doi.org/10.1007/s11082-023-04641-y

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