Security and Privacy in New Computing Environments. Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13–14, 2019, Proceedings

Research Article

An Efficient Privacy-Preserving Palmprint Authentication Scheme Based on ElGamal

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  • @INPROCEEDINGS{10.1007/978-3-030-21373-2_19,
        author={Yong Ding and Huiyong Wang and Zhiqiang Gao and Yujue Wang and Kefeng Fan and Shijie Tang},
        title={An Efficient Privacy-Preserving Palmprint Authentication Scheme Based on ElGamal},
        proceedings={Security and Privacy in New Computing Environments. Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13--14, 2019, Proceedings},
        proceedings_a={SPNCE},
        year={2019},
        month={6},
        keywords={Biometric Palmprint ElGamal Random projection},
        doi={10.1007/978-3-030-21373-2_19}
    }
    
  • Yong Ding
    Huiyong Wang
    Zhiqiang Gao
    Yujue Wang
    Kefeng Fan
    Shijie Tang
    Year: 2019
    An Efficient Privacy-Preserving Palmprint Authentication Scheme Based on ElGamal
    SPNCE
    Springer
    DOI: 10.1007/978-3-030-21373-2_19
Yong Ding1, Huiyong Wang1,*, Zhiqiang Gao1, Yujue Wang1, Kefeng Fan2, Shijie Tang1
  • 1: Guilin University of Electronic Technology
  • 2: China Electronics Standardization Institute
*Contact email: why608@163.com

Abstract

Biometric credentials have become a popular means of authentication. However, since biometrics are unique and stable, one data breach might cause the user lose some of his biometrics permanently. And the stolen biometrics may be used for identity fraud, posing a permanent risk to the user. There have been many studies addressing this problem, in which the protection of biometric templates is a basic consideration. However, most existing solutions have inefficient security or efficiency. In this paper, we use the ElGamal scheme which shows good performance in applications to construct an efficient, privacy-preserving palmprint authentication scheme. We first construct a palmprint recognition scheme based on palm lines and feature points with good performance. Then, we use the RP (random projection) method to effectively reduce the extracted palmprint features, which greatly reduces the volume of data to be stored. Finally, we design a confidential comparison process based on the ElGamal scheme to perform efficient comparisons of palmprint features while ensuring provable security. Subsequent theoretical analysis/proof and a series of experiments prove the significance and validity of our work.