Abstract
Recent advancements in the field of internet of things (IoT) and networking technologies, maximum attention has been received in the field of privacy and security in IoT environment. The IoT devices are commonly employed to acquire real world person dataset, security and privacy pose a major challenging issue. To resolve these issues, this paper develops novel partially homomorphic encryption named ElGamal public key cryptosystem with optimal key generation using cross entropy with a red deer optimization algorithm (EGPKC-CERDA) for privacy preserving in IoT environment. The presented EGPKC-CERDA algorithm aims to focus on the IEEE 802.15.4 MAC standard where security field is kept at the MAC header. Besides, EGPKC technique with optimal authentication key creation is involved for secure authentication at the MAC header. Furthermore, the optimum key selection procedure for EGPKC is carried out by CERDA technique where cross entropy scheme is integrated into the RDA for improving the local and global optima. To assure the proficient results analysis of the EGPKC-CERDA algorithm, a series of experimentations were taken place and the results are investigated with respect to different dimensions. The resultant experimentation values ensured the superior outcome of the EGPKC-CERDA algorithm.
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Devi, P., Sathyalakshmi, S. & Subramanian, D.V. An optimal metaheuristic optimization based ElGamal public key cryptosystem for privacy in IoT environment. Int J Syst Assur Eng Manag (2021). https://doi.org/10.1007/s13198-021-01173-0
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DOI: https://doi.org/10.1007/s13198-021-01173-0