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IEVCA: An efficient image encryption technique for IoT applications using 2-D Von-Neumann cellular automata

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Abstract

Present era is marked by exponential growth in transfer of multimedia data through internet. Most of the Internet-of-Things(IoT) applications send images to cloud storages through internet. However, in sensitive applications such as healthcare, defense, etc., these images should be encrypted before transmission through insecure public channels to gateway fog nodes. Conventional encryption algorithms cannot be used there due to the resource constraint characters of IoT devices. Here, Cellular Automata (CA) based encryption algorithms can be used because of their inherent simplicity in implementation in hardware, without affecting the capability of generating highly random sequences. In this paper, a lightweight, robust and secure image encryption technique has been proposed using 2-D Von-Neumann Cellular Automata (VCA), called IEVCA, which is lossless, correlation immune and has all the essential properties of a good image cipher. Additionally, the proposed technique passes all the randomness tests of DIEHARD and NIST statistical test suites. Moreover, several security and performance analyses of the IEVCA proved its efficiency and resistance against security attacks. Experimental results of the IEVCA show its better performance when compared to the existing encryption techniques.

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  • 09 August 2021

    The original version of this paper was updated to present the correct ORCID of the corresponding author and to present the corrected data “??” in Algorithm 3

Notes

  1. https://web.archive.org/web/20160125103112/http://stat.fsu.edu/pub/diehard/

  2. https://www.nist.gov/publications/statistical-test-suite-random-and-pseudorandom-number-generators-cryptographic

  3. https://www.raspberrypi.org/documentation/hardware/raspberrypi/power/README.md

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India

    Satyabrata Roy, Manu Shrivastava, Chirag Vinodkumar Pandey & Umashankar Rawat

  2. Department of Computer Science Engineering, Bennett University, Greater Noida, India

    Sanjeet Kumar Nayak

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  1. Satyabrata Roy
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  2. Manu Shrivastava
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Correspondence to Manu Shrivastava.

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Roy, S., Shrivastava, M., Pandey, C.V. et al. IEVCA: An efficient image encryption technique for IoT applications using 2-D Von-Neumann cellular automata. Multimed Tools Appl 80, 31529–31567 (2021). https://doi.org/10.1007/s11042-020-09880-9

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