Design and Analysis of a Provable Secure Two-Factor Authentication Protocol for Internet of Things

Author:

Chen Chien-Ming1ORCID,Liu Shuangshuang1ORCID,Li Xuanang1ORCID,Kumari Saru2ORCID,Li Long3ORCID

Affiliation:

1. Shandong University of Science and Technology, Qingdao, China

2. Department of Mathematics, Chaudhary Charan Singh University, Meerut, Uttar Pradesh, India

3. Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, Guangxi, China

Abstract

Because sensor nodes are deployed in public areas, these sensors are easy to capture by adversaries. Once a sensor is stolen, the sensitive information stored in it is likely to be exposed. Accordingly, designing a secure authentication protocol should consider this issue. Sadri et al. recently proposed a two-factor authentication protocol with anonymity for wireless sensor networks. Unfortunately, we found that their protocol had a design flaw in the user and sensor authentication phase. Besides, their protocol can not resist stolen smart card attacks, sensor capture attacks, and user impersonation attacks. In addition, their protocol does not provide perfect forward security. This paper proposes a provably secure authentication to overcome these weaknesses and flaws. By comparing the security and performance of the proposed protocol with other related protocols, we find that our work has reasonable computation overhead and better security.

Funder

Guangxi Key Laboratory of Trusted Software

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Cited by 3 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. Lightweight authentication scheme based on Elliptic Curve El Gamal;Journal of Information and Telecommunication;2023-11-14

2. Survey on IoT Multi-Factor Authentication Protocols: A Systematic Literature Review;2023 11th International Symposium on Digital Forensics and Security (ISDFS);2023-05-11

3. Certain Investigation of Various Attacks and Vulnerabilites in IoT and Cloud Environment;2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2022-11-10

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