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Application of Blockchain Technology and Privacy Protection Algorithm in Data Security of Digital Campus

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DOI: 10.23977/cpcs.2023.070116 | Downloads: 6 | Views: 778

Author(s)

Zhihua Cai 1,2, Hui Wu 1, Wei Li 1

Affiliation(s)

1 Hubei Vocational College of Bio-Technology, Wuhan, Hubei, 430070, China
2 School of Computer Science, South-Central Minzu University, Wuhan, Hubei, 430074, China

Corresponding Author

Zhihua Cai

ABSTRACT

With the swift advancement of information technology, digital campuses have emerged as a crucial component of contemporary education. Nonetheless, the issue of data security within these digital environments has gained significant prominence, necessitating urgent solutions to safeguard campus data's security and privacy. This study focuses on examining the utility of blockchain technology and privacy protection algorithms in securing digital campus data, presenting a viable security approach. Initially, the study identifies the principal threats to digital campus data security. Subsequently, it devises a comprehensive strategy leveraging blockchain technology and privacy protection algorithms. Through the establishment of a blockchain platform, the configuration of network architecture and consensus mechanisms, and the formulation of privacy protection algorithms, this strategy ensures comprehensive data protection. Experimental outcomes indicate notable achievements in preserving data privacy and enhancing security. The decentralized storage and immutability features of blockchain technology robustly assure data integrity and authenticity, whereas the implementation of privacy protection algorithms further augments data confidentiality and security.

KEYWORDS

Digital campus, Data security, Blockchain technology, Privacy protection algorithm

CITE THIS PAPER

Zhihua Cai, Hui Wu, Wei Li, Application of Blockchain Technology and Privacy Protection Algorithm in Data Security of Digital Campus. Computing, Performance and Communication Systems (2023) Vol. 7: 125-133. DOI: http://dx.doi.org/10.23977/cpcs.2023.070116.

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