Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)

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Research on Cybersecurity Talent Assessment Model Based on Blockchain Technology and Neural Network

Authors
Jun Zhao1, 2, *, Chen Zhou1, 2
1National intelligent society comprehensive governance experimental base (CUIT Shuangliu Industrial College), Chengdu, China
2Chengdu University of Information Technology Chengdu, Chengdu, China
*Corresponding author. Email: zhaojun@cuit.edu.cn
Corresponding Author
Jun Zhao
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-504-1_25How to use a DOI?
Keywords
blockchain; neural network; cybersecurity talent; consensus mechanisms
Abstract

This paper proposes a cybersecurity talent assessment model based on blockchain and neural network, aiming to realize comprehensive, efficient and secure supervision of cybersecurity talents. The model is centered on blockchain technology, and a secure and trustworthy cybersecurity talent information base is constructed using a federation chain. The traditional DPoS consensus mechanism is improved and a neural network algorithm is introduced for evaluating and predicting the ability, behavior, and reputation of talents to provide a scientific basis for regulation. The experimental results for the improved consensus mechanism and neural network show that the model is able to realize comprehensive supervision of cybersecurity talents, improve the efficiency and accuracy of supervision, and provide strong support for the cultivation and management of cybersecurity talents.

Copyright
© 2024 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 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)
Series
Advances in Computer Science Research
Publication Date
31 August 2024
ISBN
978-94-6463-504-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-504-1_25How to use a DOI?
Copyright
© 2024 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  - Jun Zhao
AU  - Chen Zhou
PY  - 2024
DA  - 2024/08/31
TI  - Research on Cybersecurity Talent Assessment Model Based on Blockchain Technology and Neural Network
BT  - Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)
PB  - Atlantis Press
SP  - 257
EP  - 266
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-504-1_25
DO  - 10.2991/978-94-6463-504-1_25
ID  - Zhao2024
ER  -