Abstract
The evolution of 5G and 6G networks has enhanced the ability of massive IoT devices to provide real-time monitoring and interaction with the surrounding environment. Despite recent advances, the necessary security services, such as immediate and continuous authentication, high scalability, and cybersecurity handling of IoT cannot be achieved in a single broadcast authentication protocol. This paper presents a new hybrid protocol called Hybrid Two-level µ-timed-efficient stream loss-tolerant authentication (Hybrid TLI-µTESLA) protocol, which maximizes the benefits of the previous TESLA protocol variants, including scalability support and immediate authentication of Multilevel-µTESLA protocol and continuous authentication with minimal computation overhead of enhanced Inf-TESLA protocol. The inclusion of three different keychains and checking criteria of the packets in the Hybrid TLI-µTESLA protocol enabled resistance against Masquerading, Modification, Man-in-the-Middle, Brute-force, and DoS attacks. A solution for the authentication problem in the first and last packets of the high-level and low-level keychains of the Multilevel-µTESLA protocol was also proposed. The simulation analysis was performed using Java, where we compared the Hybrid TLI-µTESLA protocol with other variants for time complexity and computation overhead at the sender and receiver sides. We also conducted a comparative analysis between two hash functions, SHA-2 and SHA-3, and assessed the feasibility of the proposed protocol in the forthcoming 6G technology. The results demonstrated the superiority of the proposed protocol over other variants in terms of immediate and continuous authentication, scalability, cybersecurity, lifetime, network performance, and compatibility with 5G and 6G IoT generations.
Funder
Technology Innovation Institute
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference23 articles.
1. Mahdi, M.N., Ahmad, A.R., Qassim, Q.S., Natiq, H., Subhi, M.A., and Mahmoud, M. (2021). From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A Survey. Appl. Sci., 11.
2. Salameh, A.I., and El Tarhuni, M. (2022). From 5G to 6G—Challenges, Technologies, and Applications. Futur. Internet, 14.
3. Explainable artificial intelligence to evaluate industrial internal security using EEG signals in IoT framework;Ad Hoc Netw.,2021
4. Fog-based distributed trust and reputation management system for internet of things;J. King Saud Univ. Comput. Inf. Sci.,2021
5. Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things;Ad Hoc Netw.,2021
Cited by
1 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