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DOI: 10.14569/IJACSA.2024.01507107
PDF

The Application of Blockchain Technology in Network Security and Authentication: Issues and Strategies

Author 1: Yanli Lu

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 7, 2024.

  • Abstract and Keywords
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Abstract: With the advent of the digital age, the importance of network security and authentication is gradually highlighted. Blockchain technology, as a distributed, immutable record technology, brings great potential value to both areas. This study aims to delve into how blockchain technology can ensure network security and its application in authentication. Through extensive questionnaires and data collection, the study successfully built a deep regression model to reveal relevant causal relationships. The findings show that the adoption of blockchain technology can significantly improve the perceived effectiveness of cybersecurity, especially when organizations have a high opinion of it. This finding provides a valuable reference for organizations to make better use of this technology. However, there are still some limitations in the study, such as the scope of data collection and the complexity of the model. For these problems, this paper also puts forward corresponding solutions.

Keywords: Blockchain; network security; identity verification; deep regression model

Yanli Lu. “The Application of Blockchain Technology in Network Security and Authentication: Issues and Strategies”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.7 (2024). http://dx.doi.org/10.14569/IJACSA.2024.01507107

@article{Lu2024,
title = {The Application of Blockchain Technology in Network Security and Authentication: Issues and Strategies},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01507107},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01507107},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {7},
author = {Yanli Lu}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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