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Advance in Information Technology and Computer Science

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Article Open Access http://dx.doi.org/10.26855/aitcs.2024.12.003

Analysis of Information Security Technology Based on Big Data

Hui Wu

Hunan Institute of Traffic Engineering, Hengyang 421001, Hunan, China.

*Corresponding author: Hui Wu

Published: November 26,2024

Abstract

In today's society, Internet information technology has penetrated into various fields, and the widespread application of technologies such as the Internet of Things and cloud computing has further promoted the informatization of today's society, greatly improving the speed and scale of information processing. Due to the development speed of information processing technology and the improvement of production efficiency, traditional information processing technology cannot meet the current information processing requirements. Therefore, this article will take the overview of big data information technology as the starting point to explore the issue of big data information security and analyze the network information security processing technology. It must be optimized and innovated according to the current information processing technology and actual situation, so as to better solve the security problems existing in information processing, thereby improving processing speed, accuracy and security.

References

[1] Hu Guozheng. Analysis of data encryption technology in computer network information security[J]. China New Communications, 2020, 22(15): 46.

[2] Liu Yun, Wu Zongxian. Analysis of information security processing technology of computer big data[J]. Digital Communication World, 2022(03):173-175.

[3] Chen Rong. Information security processing technology based on computer big data[J]. China New Communications, 2021, 23(21): 136-137.

How to cite this paper

Analysis of Information Security Technology Based on Big Data

How to cite this paper: Hui Wu. (2024) Analysis of Information Security Technology Based on Big Data. Advance in Information Technology and Computer Science, 1(1), 8-12.

DOI: http://dx.doi.org/10.26855/aitcs.2024.12.003