A Framework for Data Privacy Preservation Using Optimal Key in Supply Chain Management by Adopting Hybrid Algorithms and Ethereum Block Chain Technology

Abstract

The information processed within digital supply chains encompassing newlinemanufacturers, suppliers, logistics, and clients is extensive and exchanged much widely. The newlinechallenge lies in how data is exchanged securely with confidentiality whilst still ensuring newlinevisibility is maintained. The need for manufacturers is to have reliable communication newlinesystems, exchange data using encryption techniques, and secure data sharing systems. An newlinealternative would be the implementation of Blockchain which can ensure safe data exchange newlinethroughout the supply chain network. The recent developments in blockchain technology newlinecan solve a significant issue posed by supply chain networks because of its highly effective newlinefeatures such as decentralization and transparency. While blockchain provides a solution to newlineprovide encrypted, reliable and highly public data, privacy control is still a major issue. newlineWhere trust between the parties is null and direct interaction is not plausible, blockchain newlineserves as a data security enabler. Protecting data from unauthorized access while still being newlineable to provide transparency through privacy controls during implementation, especially in newlinesupply chains with extensive exchange of confidential information is highly crucial. Privacy newlinecontrol policies are highly challenging, which leads to the following solution this research newlinepaper will attempt to prove by means of two methodologies. newlineThe InformationCo Smart Supply Chain Dataset, available on Kaggle (URL: newlinequotYour Machine Learning and Data Science Communityquot), was used to test the proposed newlinemethodologies. This dataset, created on June 12, 2024, is an essential source for improving newlinedata security in supply chain management systems newline