Proving Mutual Authentication Property of Industrial Internet of Things Multi-Factor Authentication Protocol Based on Logic of Events

Author:

Xiao Meihua1,Chen Yuqiong1,Li Zehuan1ORCID,Chen Quangang1,Xu Ruihan1

Affiliation:

1. School of Software, East China Jiaotong University, Nanchang 330013, China

Abstract

Security protocols are the basis of modern network communication, proving that the security problem of protocols is one of the hot research topics today. The data in industrial IoT are usually transmitted through insecure channels, which brings certain security risks. The Logic of Events is a formal method for proving the security properties of protocols based on event systems. The new theoretical extension is based on the Logic of Events theory, which proposes new event classes Compurte, TimeGap, Construct, and Reconstruct and an axiom AxiomRe and related inference rules for malicious attacks and security privacy issues in emerging protocols, as well as extending the matching descriptions of protocol behaviours in complex cryptographic algorithms and information sharing techniques for applications for the formal analysis of authentication protocols for the Industrial Internet of Things. Finally, formal analysis is carried out using the example of a secure multi-factor authentication protocol for the industrial IoT, which proves the security of the protocol.

Funder

National Natural Science Foundation of China

Jiangxi “Double Thousand Plan”

Jiangxi Provincial Natural Science Foundation

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference22 articles.

1. Efficient heterogeneous signcryption scheme based on Edge Computing for Industrial Internet of Things;Niu;J. Syst. Archit.,2023

2. A systematic survey on internet of things: Energy efficiency and interoperability perspective;Rana;Trans. Emerg. Telecommun. Technol.,2021

3. Industrial internet of things: Challenges, opportunities, and directions;Sisinni;IEEE Trans. Ind. Inform.,2018

4. Implementation of Theorem Prover for PPTL with Indexed Expressions;Wang;J. Softw.,2022

5. Silva, A., and Leino, K.R.M. (2021, January 20–23). GenMC: A model checker for weak memory models. Proceedings of the 33rd International Conference on Computer Aided Verification, Virtual Event.

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