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Homomorphic Encryption Scheme to Enhance the Security of Data

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Innovations in Computer Science and Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 74))

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Abstract

Data generated in digital devices need to be secured for its use by the authorized users. Different security algorithms such as symmetric and asymmetric cryptosystems have been developed to secure the data while in transmission as well as at rest. However, data is not secure while processing. This paper explores the concept of Homomorphic Encryption (HE) based solution for secured functional evaluation of data. The proposed FHE-AES/DH cloud security model executes encryption on the data and encrypted data is transmitted to the cloud server. The functional evaluation is carried out on uploaded data by the third party without knowing the contents. These models hide the content of data in order to protect security and privacy. A banking data set has been used for the case study. The FHE-AES model takes less time for functional evaluation compared to FHE-DH model.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bengaluru, 560054, India

    C. K. Deepa & S. Ramani

Authors
  1. C. K. Deepa
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  2. S. Ramani
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Corresponding author

Correspondence to C. K. Deepa .

Editor information

Editors and Affiliations

  1. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    H. S. Saini

  2. Guru Nanak Institiutions, Ibrahimpatnam, Telangana, India

    Rishi Sayal

  3. JNTUH College of Engineering Hyderabad, Hyderabad, Telangana, India

    Aliseri Govardhan

  4. CLOUDS Laboratory, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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Deepa, C.K., Ramani, S. (2019). Homomorphic Encryption Scheme to Enhance the Security of Data. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 74. Springer, Singapore. https://doi.org/10.1007/978-981-13-7082-3_32

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  • DOI: https://doi.org/10.1007/978-981-13-7082-3_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7081-6

  • Online ISBN: 978-981-13-7082-3

  • eBook Packages: EngineeringEngineering (R0)

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