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  • 标题:OPTIMAL KEY GENERATION FOR PRIVACY PRESERVATION USING BLOCKCHAIN TECHNOLOGY
  • 本地全文:下载
  • 作者:Priti Lale ; Mukesh Kumar Gupta ; Manish Sharma
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2021
  • 卷号:12
  • 期号:5
  • 页码:1238-1247
  • DOI:10.21817/indjcse/2021/v12i5/211205030
  • 语种:English
  • 出版社:Engg Journals Publications
  • 摘要:Supply chain management is an important area of logistics. It is a process involving many stakeholders with multiple areas and even more moving parts. The proposed technology aims to make the supply chain more efficient, investing in the wrong technology complicates productivity further while hampering profits, leading to multiple issues in supply chain. Blockchain technology is the solution to the problem of structuring data with built-in security features. Blockchain technology enables decentralization with the participation of members on distributed networks. There is not a single point of failure because of the distributed structure and the transaction record cannot be change by single user. In this paper for making data more secure while sharing information in supply chain a key generation process is done using data sanitization and restoration process and new improved Fittest Self Adaptive sea lion algorithm is discussed using only the authorize person will be able to use shared data and it will be compared with existing model using different parameters.
  • 关键词:Blockchain Technology;Supply chain management;security;data sanitization;data restoration
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