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Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

Blockchain technology combined with the CNN and Hashing algorithms enabled the secure storage of 3D biometric face and ear data

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pp. 729–738Vol. 26Issue 3April 2023DOI: 10.47974/JDMSC-1745 Crossmark XML
Published Online:
01 Apr 2023
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1745
Pages:
729–738

Abstract

The integration of biometrics and blockchain is proposed as a sophisticated and enduring security strategy to protect sensitive information in the digital era. 3D biometric data will not be affected by changes in posture and changes of illumination. This research proposed a security model for 3D multimodal (face and ear). To secure the 3D data uses the convolutional neural networks (CNNs) for 3D image feature extraction based on fusion of 3D face and ear data. Further compare the different hashing algorithms for the security of 3D multimodal Biometric model in Blockchain. This research also compares the different hashing algorithm efficiency and impact of blockchain mechanism on 3D face and ear data.

Keywords

Subject Classifications

68M25 Computersecurity

References

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