Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

Research on Private Data Security Model Based on Blockchain and Function Encryption

Authors
Chen Zhang1, *
1City University of Hefei, Hefei, China
*Corresponding author. Email: zc@cuhf.edu.cn
Corresponding Author
Chen Zhang
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_50How to use a DOI?
Keywords
blockchain; Function encryption; Private data; Security protection
Abstract

With the advent of the digital age, privacy data security has become an important research field. The private data security model based on blockchain and functional encryption is an emerging solution that combines the decentralized nature of blockchain with the security of functional encryption to protect the security and privacy of personal private data. This article begins with a review of the risks and implications of private data breaches and introduces the basic concepts of blockchain and functional encryption. Then, aiming at the problems existing in the existing private data security model, a private data security model based on blockchain and function encryption is proposed. The blockchain-based private data security model enables decentralized data storage and verification, ensuring data integrity and traceability. At the same time, functional encryption technology provides a higher level of data protection, ensuring that only authorized users can decrypt and access data. By combining blockchain and functional encryption, the model solves the problems of data leakage and tampering existing in the traditional private data security model, providing higher data security and privacy protection. Finally, this paper evaluates and analyzes the private data security model based on blockchain and functional encryption. The results show that the model has high safety and reliability, and has wide potential in practical applications. The private data security model based on blockchain and function encryption is an innovative solution that can effectively protect the security and privacy of personal private data. However, further research and practice is still needed to refine the model and address its possible challenges and limitations.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_50
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_50How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Chen Zhang
PY  - 2023
DA  - 2023/12/04
TI  - Research on Private Data Security Model Based on Blockchain and Function Encryption
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 487
EP  - 493
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_50
DO  - 10.2991/978-94-6463-304-7_50
ID  - Zhang2023
ER  -