A Time-Sensitive Token-Based Anonymous Authentication and Dynamic Group Key Agreement Scheme for Industry 5.0

被引:45
作者
Xu, Zisang [1 ]
Liang, Wei [2 ,3 ]
Li, Kuan-Ching [4 ]
Xu, Jianbo [2 ,3 ]
Zomaya, Albert Y. [5 ]
Zhang, Jixin [6 ]
机构
[1] Changsha Univ Sci & Technol, Comp & Commun Engineer Inst, Changsha 410114, Peoples R China
[2] Hunan Univ Sci & Technol, Sch Comp Sci & Engn, Xiangtan 411201, Peoples R China
[3] Hunan Key Lab Serv Comp & Novel Software Technol, Xiangtan 411201, Peoples R China
[4] Providence Univ, Dept Comp Sci & Informat Engn, Taichung 43301, Taiwan
[5] Univ Sydney, Sch Informat Technol, Sydney, NSW 2006, Australia
[6] Hubei Univ Technol, Sch Comp Sci, Wuhan 430068, Peoples R China
基金
中国国家自然科学基金;
关键词
Authentication; Industries; Security; Internet of Things; Blockchains; Costs; Informatics; Anonymous authentication; blockchain; cryptography; group key agreement; Industry; 5; 0; PROTOCOL;
D O I
10.1109/TII.2021.3129631
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In Industry 5.0, the massive number of Internet of Things devices have increasing demands for group communication with a high communication efficiency and low energy consumption. However, group communication meets continuously increasing security risk challenges. Existing authentication and group key agreement schemes have encountered many problems, such as lack of anonymity and untraceability. In this article, we propose an anonymous authentication and dynamic group key agreement scheme based on the Blockchain and token mechanism, where each group member can apply for a time-sensitive token during the first authentication and only needs to check the validity of the token in the subsequent authentication, reducing the computational and transmission costs considerably. The verification on the security of the proposed scheme is tackled through mathematical analysis and validated using ProVerif, and comparisons with existing schemes demonstrate that the proposed scheme reduces the security risks and each group member's energy consumption.
引用
收藏
页码:7118 / 7127
页数:10
相关论文
共 23 条
[1]   A method for obtaining authenticated scalable and efficient group key agreement for wireless ad-hoc networks [J].
Alphonse, P. J. A. ;
Reddy, Y. Venkatramana .
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (02) :S3145-S3151
[2]   Automated reasoning for equivalences in the applied pi calculus with barriers [J].
Blanchet, Bruno ;
Smyth, Ben .
JOURNAL OF COMPUTER SECURITY, 2018, 26 (03) :367-422
[3]   BPAS: Blockchain-Assisted Privacy-Preserving Authentication System for Vehicular Ad Hoc Networks [J].
Feng, Qi ;
He, Debiao ;
Zeadally, Sherali ;
Liang, Kaitai .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (06) :4146-4155
[4]   TRACEABLE IDENTITY- BASED GROUP SIGNATURE [J].
Gu, Ke ;
Yang, Lihao ;
Wang, Yong ;
Wen, Sheng .
RAIRO-THEORETICAL INFORMATICS AND APPLICATIONS, 2016, 50 (03) :193-226
[5]  
Gupta S., 2018, P 4 INT C REC ADV IN, P1, DOI [DOI 10.1109/RAIT.2018.8388999, 10.1109/RAIT.2018.8388999]
[6]   A robust and efficient password-based conditional privacy preserving authentication and group-key agreement protocol for VANETs [J].
Islam, S. K. Hafizul ;
Obaidat, Mohammad S. ;
Vijayakumar, Pandi ;
Abdulhay, Enas ;
Li, Fagen ;
Reddy, M. Krishna Chaitanya .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 84 :216-227
[7]   An Improved Authentication and Security on Efficient Generalized Group Key Agreement Using Hyper Elliptic Curve Based Public Key Cryptography for IoT Health Care System [J].
Kavitha, S. ;
Alphonse, P. J. A. ;
Reddy, Y. Venkataramana .
JOURNAL OF MEDICAL SYSTEMS, 2019, 43 (08)
[8]   Ouroboros: A Provably Secure Proof-of-Stake Blockchain Protocol [J].
Kiayias, Aggelos ;
Russell, Alexander ;
David, Bernardo ;
Oliynykov, Roman .
ADVANCES IN CRYPTOLOGY - CRYPTO 2017, PT I, 2017, 10401 :357-388
[9]   Lightweight Identity-Based Group Key Agreements Using Extended Chaotic Maps for Wireless Sensor Networks [J].
Lee, Tian-Fu ;
Chen, Meriske .
IEEE SENSORS JOURNAL, 2019, 19 (22) :10910-10916
[10]   Deep Neural Network Security Collaborative Filtering Scheme for Service Recommendation in Intelligent Cyber-Physical Systems [J].
Liang, Wei ;
Xie, Songyou ;
Cai, Jiahong ;
Xu, Jianbo ;
Hu, Yupeng ;
Xu, Yang ;
Qiu, Meikang .
IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (22) :22123-22132