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Comparative Analysis of Cellular Automata Based Multilingual Encryption Using Syndicate Rules for Data Security

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Book cover Innovations in Bio-Inspired Computing and Applications (IBICA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1372))

Abstract

Authors propose cellular automata (CA) based multilingual encryption algorithm to provide data security. Different components (keyset and encryption key) are required in proposed single attractor cellular automata (SACA) based algorithm to prepare multilingual encrypted dataset. A particular set of keyset and encryption key should be applied on a particular set of multilingual raw dataset to prepare multilingual key mapped dataset. Different syndicate rules should be applied in proposed algorithm using CA based state transition mapping. Data security should be increased due to usage of different syndicate rules. Efficiency of proposed algorithm should be measured using experimental results. Superiority of CA based proposed multilingual encryption algorithm should be measured using comparative analysis with existing algorithms (Blowfish, Twofish, RSA, Triple Data Encryption Standard, Advanced Encryption Standard).

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Acknowledgment

The research work is funded by Computer Innovative Research Society, West Bengal, India. Award number is “2020/CIRS/R&D/2020-02-19/CACAMESRDS”.

Author information

Authors and Affiliations

  1. Computer Innovative Research Society, Howrah, 711103, West Bengal, India

    Ayan Banerjee & Anirban Kundu

  2. Netaji Subhash Engineering College, Kolkata, 700152, India

    Anirban Kundu

Authors
  1. Ayan Banerjee
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  2. Anirban Kundu
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. National Institute of Information and Communications Technology (NICT), Koganei, Tokyo, Japan

    Hideyasu Sasaki

  3. Universidade Federal da Bahia, Salvador, Brazil

    Ricardo Rios

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  5. Institute of Technology and Science, Ghaziabad, Uttar Pradesh, India

    Umang Singh

  6. School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China

    Kun Ma

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Banerjee, A., Kundu, A. (2021). Comparative Analysis of Cellular Automata Based Multilingual Encryption Using Syndicate Rules for Data Security. In: Abraham, A., Sasaki, H., Rios, R., Gandhi, N., Singh, U., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2020. Advances in Intelligent Systems and Computing, vol 1372. Springer, Cham. https://doi.org/10.1007/978-3-030-73603-3_28

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