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Faster Synchronization of Triple Layer Neural Network Using Nature Inspired Whale Optimization: A Key Exchange Protocol

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Abstract

The secret key swap over protocol is developed using a Whale Optimization-guided Three Layer Neural Networks coordination mechanism in this article. An adversary can target crucial data while transferring confidential information via sniff, Man-In-The-Middle (MITM), phishing, or spoofing assault. Sensitive material must be delivered securely while adhering to the security hardening requirements of authentication, secrecy, and integrity. These criteria need the use of a secure protocol that is both end-to-end and resilient. For quicker coordination, this suggested technique uses a whale-guided optimization on the weights of the Triple Layer Tree Parity Machine (TLTPM). Because the optimum contributes to computational efficiency, a larger weight range might be considered to improve TLTPM safety. The difficulty of an effective assault grows exponentially as the weight spectrum is increased, whereas the efforts required to create the neural key reduces over polynomially. As a result, guessing the inner structure will be challenging for the adversary. The session key is the coordinated weight matrix. The suggested method allows for simultaneous coordination and verification. The adversary has a hard time distinguishing amongst coordination and verification stages. Various parameter tests have been run on the suggested method. The collected findings are evaluated, resulting in improved adjustments. The outcomes have proven to be efficient and sustainable. In respect of the reported outcomes in the study, evaluations of the procedure demonstrate efficacy.

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Acknowledgements

The author expressed deep gratitude for the moral and congenial atmosphere support provided by the Ramakrishna Mission Vidyamandira, Belur Math, India under the DBT STAR college scheme.

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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  1. Department of Computer Science and Electronics, Ramakrishna Mission Vidyamandira, Belur Math, Howrah, 711202, West Bengal, India

    Arindam Sarkar

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Sarkar, A. Faster Synchronization of Triple Layer Neural Network Using Nature Inspired Whale Optimization: A Key Exchange Protocol. Wireless Pers Commun 124, 683–713 (2022). https://doi.org/10.1007/s11277-021-09378-z

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