Design & Development of Hybrid Electric Fish-Harris Hawks Optimization-Based Privacy Preservation of Data in Supply Chain Network with Block Chain Technology
Yedida Venkata Rama Subramanya Viswanadham and
Kayalvizhi Jayavel ()
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Yedida Venkata Rama Subramanya Viswanadham: Department of Networking and Communications, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
Kayalvizhi Jayavel: Department of Networking and Communications, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
International Journal of Information Technology & Decision Making (IJITDM), 2024, vol. 23, issue 04, 1601-1632
Abstract:
Due to the expansion of privacy protection, and data sharing gets complicated and is known to be a hot issue in the research areas. Many business scenarios in the supply chain network have been highly important in research areas. Especially, blockchain technology ensures the essential solution in the supply chain network for securing information sharing. Yet, it is difficult to maintain security at every blockchain level, whereas it is suggested to use “public–private key cryptography.†The fundamental goal of this research work is to present new privacy preservation of data using hybrid meta-heuristic algorithms with blockchain technology. The secured supply chain network is built with blockchain technology. The privacy preservation of data sharing in blockchain technology is handled by the electric fish-Harris hawks optimization (EF-HHO). This new algorithm is utilized for the key generation phase of two processes like “data sanitization and restoration.†The optimal key generation follows a multi-objective problem is solved by the variables like “Hiding Failure (HF) rate, information preservation (IP) rate, and false rule (FR) generation, and degree of modification (DM)†. The result analysis shows the offered model provides effective performance when compared with existing conventional techniques.
Keywords: Privacy preservation of data; supply chain network; block chain technology; hybrid Harris hawks-Electric fish optimization; data sanitization; data restoration (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:23:y:2024:i:04:n:s0219622023500451
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DOI: 10.1142/S0219622023500451
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