Ultralightweight RFID Authentication Protocols for Low-Cost Passive RFID Tags

Author:

Khalid Madiha1ORCID,Mujahid Umar12,Muhammad Najam-ul-Islam1

Affiliation:

1. Department of Electrical Engineering, Bahria University, Islamabad, Pakistan

2. Department of Information Technology, Georgia Gwinnett College, Georgia, USA

Abstract

The field of pervasive computing especially the Internet of Things (IoT) network is evolving due to high network speed and increased capacity offered by the 5G communication system. The IoT network identifies each device before giving it access to the network. The RFID system is one of the most prominent enabling technologies for the node identification. Since the communication between the node and the network takes place over an insecure wireless channel, an authentication mechanism is required to avoid the malicious devices from entering the network. This paper presents a brief survey on the authentication protocols along with the prominent cryptanalysis models for the EPC C1G2 RFID systems. A comparative analysis is provided to highlight the common weaknesses of the existing authentication algorithms and to emphasize on the lack of security standardization for the resource constraint IoT network perception layer. This paper is concluded by proposing an ultralightweight protocol that provides Extremely Good Privacy (EGP). The proposed EGP protocol avoids all the pitfalls highlighted by the cryptanalysis of the existing authentication protocols. The incorporation of the novel ultralightweight primitives, Per-XOR (Px) and Inverse Per-XOR (Px-1), makes the protocol messages more robust and irreversible for all types of adversaries. A comprehensive security analysis illustrates that the proposed protocol proves to be highly resistive against all possible attack scenarios and ensures the security optimally.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Cited by 8 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

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