Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)

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Research and Analysis of Blockchain Algorithms Based on Big Data Edge Computing

Authors
Leixin Deng1, *
1Southwest Jiaotong University, Chengdu, China
*Corresponding author. Email: DLeixin@outlook.com
Corresponding Author
Leixin Deng
Available Online 28 August 2023.
DOI
10.2991/978-94-6463-222-4_45How to use a DOI?
Keywords
Big data; Edge computing; Blockchain; Access Control
Abstract

With the development of artificial intelligence, big data, IoT and other technologies, more and more data is generated and collected through traditional sensing devices or smart mobile devices. In order to improve the transmission efficiency and availability of data, the original data often needs to be initially analyzed and processed with the help of edge computing, so there will be a large amount of available data in the edge computing network, and if these data can be shared directly in the edge network, it will If these data can be shared directly in the edge network, it will greatly improve the utilization of data and accelerate the modernization process of the city. Therefore, how to securely share data among heterogeneous edge nodes is also a current research hotspot. For the problems of difficult to establish trust relationship, difficult to guarantee privacy and single point of failure of central framework for data sharing in edge computing, a blockchain-based access control mechanism is proposed and implemented in this paper. In this scheme, smart contracts of blockchain are used to manage access rights and audit data, and the decentralization and tamper-evident characteristics of blockchain are utilized to solve the single point of failure and node trust problems.

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.

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Volume Title
Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
28 August 2023
ISBN
978-94-6463-222-4
ISSN
2589-4919
DOI
10.2991/978-94-6463-222-4_45How 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

risenwbib
TY  - CONF
AU  - Leixin Deng
PY  - 2023
DA  - 2023/08/28
TI  - Research and Analysis of Blockchain Algorithms Based on Big Data Edge Computing
BT  - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
PB  - Atlantis Press
SP  - 423
EP  - 428
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-222-4_45
DO  - 10.2991/978-94-6463-222-4_45
ID  - Deng2023
ER  -