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

Analysis and Research on Big Data Storage Technology Based on Machine Learning

Authors
Xin Li1, *
1Southwest Petroleum University, Chengdu, China
*Corresponding author. Email: 2445498129@qq.com
Corresponding Author
Xin Li
Available Online 28 August 2023.
DOI
10.2991/978-94-6463-222-4_10How to use a DOI?
Keywords
Network Security Assessment; BP Neural Network Algorithm; Genetic Algorithm; Complex Networks
Abstract

With the advent of the Internet era, the scale and application areas of the Internet are constantly developing, and the Internet has gradually been widely used in people’s daily life, economy, military, science and technology, education and other related fields, and its basic and global position and role have become stronger and stronger. Along with the further development of network technology, the issue of network security has become an important factor affecting the development strategy of the country and the economic development of the society. However, in the face of the increasingly complex network structure and large scale, especially the new means of attack using various systems and their security weaknesses, many weaknesses are widely used by intruders, network information systems are facing increasingly serious threats and security risks. Therefore, a variety of techniques based on network security propositions are also changing day by day, and the introduction of advanced concepts such as complex network concepts and genetic algorithms has become a research direction in computer network security evaluation techniques. This paper combines big data-based learning on economic development with a new research and combination of exploration, which is a new research idea and method that lays the foundation for later research.

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.

Download article (PDF)

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
10.2991/978-94-6463-222-4_10
ISSN
2589-4919
DOI
10.2991/978-94-6463-222-4_10How 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

TY  - CONF
AU  - Xin Li
PY  - 2023
DA  - 2023/08/28
TI  - Analysis and Research on Big Data Storage Technology Based on Machine Learning
BT  - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
PB  - Atlantis Press
SP  - 106
EP  - 114
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-222-4_10
DO  - 10.2991/978-94-6463-222-4_10
ID  - Li2023
ER  -