A Systematic Review of Security Issues in 6G Networks and Communication

Author:

Pandey Digvijay1ORCID,Goyal Sumeet2,Bhaumik Kallol3ORCID,Suneja Sonia4,Sharma Manvinder5ORCID,Dadheech Pankaj Dadheech6ORCID

Affiliation:

1. Department of Technical Education, Government of Uttar Pradesh, India

2. Chandigarh Group of Colleges, Landran, India

3. Malla Reddy Engineering College and Management Sciences, India

4. Chandigarh University, India

5. Chitkara University Institute of Engineering and Technology, Chitkara Univeristy, Punjab, India

6. Swami Keshvanand Institute of Technology, Management, and Gramothan, Jaipur, India

Abstract

6G networks are the next frontier in wireless communication, promising unprecedented speeds, lower latencies and advanced capabilities. However, with greater connectivity comes increased security risks. This chapter provides a systematic review of security issues in 6G networks and communication systems. A comprehensive search of academic databases is conducted for studies published between 2020-2023 that examined security related issues of 6G. The studies indicate authentication, privacy and trust will be major concerns due to new technologies like reconfigurable intelligent surfaces and cell free architectures. Specific vulnerabilities include impersonation attacks, side channel leaks, and insider threats from rogue base stations. End to end encryption, blockchain, and machine learning are emerging security mechanisms to address these issues. This review synthesizes the current work on 6G security, highlights critical challenges and opportunities, and provides a framework for the future.

Publisher

IGI Global

Reference46 articles.

1. Metamaterial-based sensors loaded corona-shaped resonator for COVID-19 detection by using microwave techniques.;Y. I.Abdulkarim;Plasmonics,2023

2. A survey on socially-aware device-to-device communications.;N.Ahmed;IEEE Access : Practical Innovations, Open Solutions,2020

3. Hybrid convolutional neural network (CNN) for Kennedy Space Center hyperspectral image

4. An enhanced ResNet-50 deep learning model for arrhythmia detection using electrocardiogram biomedical indicators

5. Improved parallel matrix multiplication using Strassen and Urdhvatiryagbhyam method

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