Security Authentication Protocol for Massive Machine Type Communication in 5G Networks

Author:

Miao Junfeng1ORCID,Wang Zhaoshun1ORCID,Wang Mei2ORCID,Feng Xiao34ORCID,Xiao Nan1ORCID,Sun Xiaoxue1ORCID

Affiliation:

1. The School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijjing 100083, China

2. Shandong University, Shandong 250100, China

3. Beijing University of Posts and Telecommunications, Beijing 100876, China

4. State Grid Information Telecommunication Group Co.Ltd, Beijing 102211, China

Abstract

As one of the three major applications of 5G, massive machine type communication (mMTC) is mainly oriented to network access scenarios for massive devices. mMTC focuses on solving the problem that traditional mobile communication cannot well support the Internet of Things and vertical industry applications. According to the current 3GPP standard, these massive devices still use the traditional authentication process to realize mutual authentication with 5G core network, which brings a lot of communication and computing overhead. In addition, privacy protection will also be threatened in the authentication process. In order to alleviate the signaling congestion during authentication and solve the insecurity in authentication, this paper proposes a group authentication scheme for mMTC. Due to the characteristics of low power consumption and massive connection, the scheme mainly adopts lightweight encryption operation to avoid the computational burden of equipment and server. We verify the security of our scheme by using BAN logic to formally analyze the scheme. Then, through informal analysis, our proposed scheme can not only avoid signaling blocking and provide mutual authentication but also resist various possible attacks. Through performance evaluation, it is proved that our scheme has better efficiency.

Funder

2020 Industrial Technology Foundation Public Service Platform Project

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference28 articles.

1. Framework and overall objectives of the future development of IMT for 2000 and beyond;M. Series

2. Compressive coded random access for massive MTC traffic in 5G systems;G. Wunder

3. Hybrid Random Access and Data Transmission Protocol for Machine-to-Machine Communications in Cellular Networks

4. 3rd Generation Partnership Project (3GPP)TS33.501-f10Technical specification group services and system aspects2018Security architecture and procedures for 5G system, V.15.0.0

5. Massive Random Access of Machine-to-Machine Communications in LTE Networks: Modeling and Throughput Optimization

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