Research on Network Security Based on Artificial Intelligence—On How Artificial Intelligence is Reshaping the Landscape of the Network Security Industry

Jian Yu

doi:10.47297/taposatWSP2633-456906.20250603

PDF
导出
分享
收藏
专辑

Research on Network Security Based on Artificial Intelligence—On How Artificial Intelligence is Reshaping the Landscape of the Network Security Industry

6卷第3期

浏览量: 0 Downloads: 0

Research on Network Security Based on Artificial Intelligence—On How Artificial Intelligence is Reshaping the Landscape of the Network Security Industry
Research on Network Security Based on Artificial Intelligence—On How Artificial Intelligence is Reshaping the Landscape of the Network Security Industry
College of Computer Science and Electronic Engineering, Hunan University, Changsha, China, 410006
2025年6卷第3期页码：34-39
纸质出版日期：2025-03-25
DOI：10.47297/taposatWSP2633-456906.20250603
Accepted：

Scan QR Code

(2025). Research on Network Security Based on Artificial Intelligence—On How Artificial Intelligence is Reshaping the Landscape of the Network Security Industry. 科技理论与实践（英文版）, 6(3), 34-39.

Jian Yu.Research on Network Security Based on Artificial Intelligence—On How Artificial Intelligence is Reshaping the Landscape of the Network Security Industry[J].Theory and Practice of Science and Technology,2025,06(03):34-39.
(2025). Research on Network Security Based on Artificial Intelligence—On How Artificial Intelligence is Reshaping the Landscape of the Network Security Industry. 科技理论与实践（英文版）, 6(3), 34-39. DOI： 10.47297/taposatWSP2633-456906.20250603.

Jian Yu.Research on Network Security Based on Artificial Intelligence—On How Artificial Intelligence is Reshaping the Landscape of the Network Security Industry[J].Theory and Practice of Science and Technology,2025,06(03):34-39. DOI： 10.47297/taposatWSP2633-456906.20250603.

摘要

Abstract

Artificial intelligence (AI) technologies have made the network security system more complete and enhanced its ability to withstand security risks. In view of the characteristics of network security in the AI - era

such as increasingly intelligent

diversified

highly concealed

and extremely harmful network attacks

a functional requirements analysis is carried out on the basic layer

intermediate layer

and application layer of network security. A network security defense system is established from aspects such as AI - based network security early warning

firewalls

data encryption

and machine learning to improve network security protection.

关键词

Keywords

references

Ma Yiwei.(2023),Research on Cybersecurity Based on Artificial Intelligence.Cybersecurity Technology and Application, Issue 11,pp. 156 – 157 ,.

Wang Ming,Sun Zhiwen,Yang Haiyan.(2024),The Threats and Countermeasures of Artificial Intelligence to Cybersecurity,Cybersecurity Technology and Application, Issue 1,pp. 163 – 165 .

Hong Meixue, Bai Shigang,.(2024),Applications of Artificial Intelligence in Cybersecurity in Magnetism, Cybersecurity Technology and Application, Issue 8, pp. 115 – 117 .

Gao Junxia.(2024),Design of Cybersecurity Defense Systems Based on Artificial Intelligence.Information: Technology and Application,Volume 25, Issue 10,pp. 146 - 148 .

Wang Jipeng.(2020),A Multi-layer Detection System for Android Malware Based on Deep Learning.MASTER THESIS FOR PROFESSIONAL DEGREE.

Zhou Jie.(2021),Research on Android Malware Detection Methods Based on Static and Dynamic Analysis.MASTER THESIS FOR PROFESSIONAL DEGREE.

Pi Xunxun, Wu Lisheng.(2023),Design of Cybersecurity Defense Systems Based on Artificial Intelligence Technology.Wireless Internet Technology,No. 18 ,pp. 25 - 27 .

Dong Hongmeng.(2024),The Application of Artificial Intelligence Technology in Computer Network Security.Technology and Innovation, Issue 9,pp. 78 - 80 .

文章被引用时，请邮件提醒。

Submit

Artificial Intelligence for Facial Emotion Recognition: A Review

A Review of Medical Imaging in Breast Cancer Detection

Research on the Application of Educational Technology and Improvement of Teaching Quality in Higher Education Management Empowered by AI

Evaluating Neural Network Models for Stress-Strain Prediction in Coarse-Grained Soils

Research on the Innovation of Program Forms Driven by Artificial Intelligence

Related Author

Waikan Chong Intelligent Science and Engineering, Jinan University

Yuxi Lan

Huizhen Liang Xi'an Kedagaoxin University

Zeli Wang State grid Beijing electric power company Chaoyang power supply company, 41 Qianmen West Street

Jiyuan He North China Electric Power University, School of Control and Computer Engineering,Beinong Road

Ying Shi School of Broadcasting and Television, Communication University of China, Nanjing

Xinxin Liu School of Accounting of Guangzhou Huashang College

Hao Li School of Accounting of Guangzhou Huashang College

Related Institution

Intelligent Science and Engineering, Jinan University

Xi’an Tieyi Lugang High School

Xi'an Kedagaoxin University

State grid Beijing electric power company Chaoyang power supply company, 41 Qianmen West Street

North China Electric Power University, School of Control and Computer Engineering,Beinong Road

⁰