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A Hybrid Symmetric Key Cryptography Method to Provide Secure Data Transmission

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Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1241))

Abstract

Confidentiality of data is required when it travels over the insecure network such as e-mail transfer using Pretty Good Privacy (PGP), image transfer, etc. The proposed symmetric cryptographic algorithm is suitable for such data transfer. A number of other algorithms can be formulated by combining the existing algorithms to incorporate the algorithms in the relevant applications. The modified algorithm for session key generation is a combination of Affine cipher and hill cipher. A systematic study of the symmetric-key algorithm consisting of multiple keys with regular dependency has been carried out in order to show the efficacy. Security analysis of the proposed algorithm reveals the weakness of the algorithm.

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Acknowledgment

The authors express deep sense of gratitude to Computing Centre of National Institute of Technology, Sikkim India, where the work has been carried out.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Sikkim, Burfang Block, South Sikkim, Ravangla, 737139, India

    Pankaj Kumar Keserwani & Mahesh Chandra Govil

Authors
  1. Pankaj Kumar Keserwani
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  2. Mahesh Chandra Govil
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Corresponding author

Correspondence to Pankaj Kumar Keserwani .

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Editors and Affiliations

  1. National Institute of Technology Silchar, Silchar, India

    Arup Bhattacharjee

  2. National Institute Of Technology Silchar, Silchar, India

    Samir Kr. Borgohain

  3. National Institute of Technology Silchar, Silchar, India

    Badal Soni

  4. National Institute of Technology Kurukshetra, Kurukshetra, India

    Gyanendra Verma

  5. University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

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Keserwani, P.K., Govil, M.C. (2020). A Hybrid Symmetric Key Cryptography Method to Provide Secure Data Transmission. In: Bhattacharjee, A., Borgohain, S., Soni, B., Verma, G., Gao, XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1241. Springer, Singapore. https://doi.org/10.1007/978-981-15-6318-8_38

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  • DOI: https://doi.org/10.1007/978-981-15-6318-8_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6317-1

  • Online ISBN: 978-981-15-6318-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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