Improving network data security interaction methods under wireless communication

Author:

Geng Jiali1

Affiliation:

1. School of Information Engineering, Anhui Vocational College of Finance and Trade Hefei China

Abstract

AbstractWith the development of information technology, network data security issues have received widespread attention. Under traditional wired communication networks, it not only has high installation and maintenance costs, requires a lot of manpower and resources, but also has low security performance, which is not significant in improving network data security. How to improve network data security, prevent data from being maliciously leaked, stolen, and effectively transmitted in the network, is a major challenge facing today's society. Wireless communication technology has brought new ideas to improve network data security. This article analyzed the role of wireless communication technology in improving network data security and selected 30 enterprises as the research objects. This article studied the role of traditional wired communication technology and wireless communication technology in network data security protection and compared several indicators based on virus detection rate, defense rate, data transmission speed, and customer satisfaction. The experimental results showed that the average detection rate of Trojan viruses based on wireless communication technology was 80.8%, and the average defense rate against viruses using antivirus software was 58%. In the case of virus attacks, the average transmission speed was 2.4 s, and the average satisfaction of users with wireless communication technology in virus defense was 6.9. It indicates that wireless communication technology has significantly improved virus detection rate, defense rate, data transmission speed, and customer satisfaction in the mode of improving network data security. This technology has significant significance and value for users.

Publisher

Wiley

Reference18 articles.

1. RLIS: resource limited improved security beyond fifth‐generation networks using deep learning algorithms. IEEE open;Shitharth S;J Commun Soc,2023

2. Transfer Learning Promotes 6G Wireless Communications: Recent Advances and Future Challenges

3. Reconsidering big data security and privacy in cloud and mobile cloud systems[J];Tawalbeh LA, Saldamli G;J King Saud Univ‐Comput Inf Sci,2021

4. Energy Efficient Federated Learning Over Wireless Communication Networks

5. Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Recent Advances on Semantic IoT Data Integration;Internet Technology Letters;2024-02-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3