Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 19, Issue 1, Pages 243-250Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2022.3159164
Keywords
Authentication; Internet of Things; Cloud computing; Blockchains; Security; Servers; Privacy; Authentication; blockchain; networking systems; smart cities
Ask authors/readers for more resources
This article proposes a trust-aware blockchain-based seamless authentication with privacy-preserving (TAB-SAPP) method to address the issues of privacy, security, and packet delivery in IoT applications. By utilizing identity management and a novel data traffic pattern, this method can expand user connectivity and improve communication metrics.
The advancement of sensory technologies proliferates the development of low-cost electronics systems to operate the environmental features of smart cities. Global urbanization integrates networking systems to offer computing-based practical solutions for improving the quality of application-oriented services. Few existing studies have primarily focused on a single-point vulnerability for decentralized IoT applications. However, very few mechanisms address the issues concerning privacy-preserving and trust-aware authentication for IoT-enabled industrial applications. Moreover, the existing schemes are in fact not applicable to real-time scenarios, such as decentralized networks and long-term evolution advanced networks. Thus, this article presents a trust-aware blockchain-based seamless authentication with privacy-preserving (TAB-SAPP) to resolve the critical things, such as privacy, security, and packet delivery ratio. In the proposed TAB-SAPP, a novel data traffic pattern is utilized using identity management to show that the proposed mechanism can be more functional in expanding users' connectivity to improve the communication metrics, such as packet delivery ratio and mobility speed.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available