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Application of artificial intelligence in the construction of computer big data security technology platform

Published: 22 February 2024 Publication History

Abstract

To understand the application of big data security technology platform construction, a research on the application of artificial intelligence in the construction of computer big data security technology platform has been proposed. This article first analyzes the overview of big data and artificial intelligence, the advantages of artificial intelligence in computer networks, the specific application of artificial intelligence in computer network technology, and the future development direction of artificial intelligence. Secondly, in order to further demonstrate the actual effectiveness of AI based computer big data security technology platforms, a comparative analysis is conducted on the differences between AI based computer big data security technology platforms and traditional computer big data security technology platforms. The experimental results show that compared with traditional computer big data security technology platforms, AI based computer big data security technology platforms have significant advantages in security level, which can better protect user information and maximize user information security.

References

[1]
Sharma, P., MD Borah, & Namasudra, S. . 2021. Improving security of medical big data by using blockchain technology. Computers & Electrical Engineering, 96, 1(0)7529-.
[2]
Wang, X., Li, Z., Hong, H., & Zhou, M. . 2021. Development and design of network security system software based on big data analysis technology. Journal of Physics: Conference Series, 1992(2), 022145-.
[3]
Hasan, M. K., Alkhalifah, A., Islam, S., Babiker, N., & Hossain, M. A. . 2022. Blockchain technology on smart grid, energy trading, and big data: security issues, challenges, and recommendations. Wireless Communications and Mobile Computing, 2022(9), 1-26.
[4]
Xu, Z., Ge, Z., Wang, X., & Kou, G. . 2023. A look at the focus on big data for information technology and decision making during 1994 to 2020. International Journal of Information Technology & Decision Making, 22(01), 7-35.
[5]
Zhang, Y., & Sun, Q. . 2021. Information security protection strategy based on computer big data technology. Journal of Physics Conference Series, 1744(4), 042177.
[6]
Chen, Y., Gao, X., & Wu, X. . 2021. Application of ai technology in defense of big data network security. Journal of Physics: Conference Series, 1802(3), 032105 (5pp).
[7]
Lan, X. . 2021. Big data network security index correlation measure based on the fusion of modified two order cone programming model. International journal of internet protocol technology75(1), 14.
[8]
Zhang, Q., & Ma, D. . 2021. Research on network security analysis based on big data technology application. Journal of Physics: Conference Series, 1744(3), 032199 (6pp).
[9]
Zhao, Y., Zhang, J., Xiang, S., & Tang, Y. . 2021. Research on intelligent analysis technology of network security risk based on big data. Journal of Physics Conference Series, 1792(1), 012036.
[10]
Jiang, C. . 2022. Network security and ideological security based on wireless communication and big data analysis. Wireless Communications and Mobile Computing, 2022(3), 1-6.

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    CNML '23: Proceedings of the 2023 International Conference on Communication Network and Machine Learning
    October 2023
    446 pages
    ISBN:9798400716683
    DOI:10.1145/3640912
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 22 February 2024

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