SECURE IOT-BASED AUTOMATIC GATE SYSTEM WITH DECENTRALIZED AUTHENTICATION AND BIBLIOMETRIC ANALYSIS
DOI:
https://doi.org/10.62373/pgd00y69Keywords:
IoT, Blockchain, Bibliometric AnalysisAbstract
The use of IoT-based automatic gate systems is on the rise in smart cities, healthcare, and transportation sectors; however, centralized authentication systems create single points of failure, scalability issues, and security risks. In this paper, a secure automatic gate system using decentralized blockchain-enabled authentication is proposed. Smart contracts are utilized to implement immutable access control without the need for a central authority. A machine learning-based anomaly recognition framework is incorporated to identify and prevent malicious or anomalous access attempts in real-time. Edge and fog computing concepts are leveraged to minimize latency and improve energy efficiency. In addition, a bibliometric study of peer-reviewed articles (2015-2025) on blockchain-enabled verification is performed using Scopus and Web of Science® datasets. The bibliometric study is carried out in the RStudio® environment using the Bibliometrics package, exploring publication patterns, citation effects, collaboration patterns, and topic evolution. The findings show that research has expanded rapidly since 2018 with a focus on permissioned and hybrid blockchain models. Research gaps in energy efficiency, interoperability, and large-scale deployment of secure IoT access control systems are identified.
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Copyright (c) 2026 Alok Pandit, Minal Shukla, Pooja Sapra, Amit Sata, Payal Singh, Pravin Vadhel (Author)
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