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Intelligent Techniques in Signal Processing for Multimedia Security pp 469–485Cite as

Multi-fingerprint Unimodel-based Biometric Authentication Supporting Cloud Computing

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 660))

Abstract

Cloud computing is one of the emerging technologies that transfers network users to the next level. Security is one of the critical challenges faced by cloud computing. Biometrics proves its efficiency to achieve secured authentication. A new attribute should be created to handle authentication information in the infrastructure. The proposed system model presented a new idea for biometric security system based on fingerprint recognition. It automated the verification method to match between two human fingerprints, where fingerprints are considered a commonly used biometrics to identify an individual and to verify their identity. The proposed system presented a new model of a security system, where the users were asked to provide multiple [two] biometric fingerprints during the registration for a service. These templates are stored at the cloud providers’ end. The users are authenticated based on these fingerprint templates which have to be provided in the order of random numbers that are generated every time. Both fingerprint templates and images were provided whenever encrypted for enhanced security. The proposed multi-fingerprint system achieved superior accuracy of 98 % compared to the single-fingerprint and manual-based attendance management systems.

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Author information

Authors and Affiliations

  1. Department of CSE, KL University, Guntur, India

    P. Rajeswari

  2. Department of CSE, JNTUH, Hyderabad, India

    S. Viswanadha Raju

  3. Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt

    Amira S. Ashour

  4. Department of Information Technology, Techno India College of Technology, Kolkata, India

    Nilanjan Dey

Authors
  1. P. Rajeswari
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  2. S. Viswanadha Raju
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  3. Amira S. Ashour
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  4. Nilanjan Dey
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Corresponding author

Correspondence to Nilanjan Dey .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Techno India College of Technology Department of Information Technology, Kolkata, India

    Nilanjan Dey

  2. School of Computing Science and Eng., VIT University School of Computing Science and Eng., Vellore, India

    V. Santhi

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Rajeswari, P., Viswanadha Raju, S., Ashour, A.S., Dey, N. (2017). Multi-fingerprint Unimodel-based Biometric Authentication Supporting Cloud Computing. In: Dey, N., Santhi, V. (eds) Intelligent Techniques in Signal Processing for Multimedia Security. Studies in Computational Intelligence, vol 660. Springer, Cham. https://doi.org/10.1007/978-3-319-44790-2_21

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  • DOI: https://doi.org/10.1007/978-3-319-44790-2_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44789-6

  • Online ISBN: 978-3-319-44790-2

  • eBook Packages: EngineeringEngineering (R0)

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