Leveraging blockchain-based approaches for IoT security
Ahmed Abubakar Aliyu
Department of Secure Computing, Kaduna State University, Nigeria.
https://orcid.org/0000-0002-8742-6500
DOI: https://doi.org/10.20448/iras.v11i1.6956
Keywords: Blockchain technology, Cybersecurity, Internet of things (IoT), IoT Security, IoT Security Taxonomy, Intrusion detection systems.
Abstract
Blockchain technology is transforming various sectors, including the Internet of Things (IoT), by providing a decentralized and secure framework for data management and transaction processing. However, securing IoT devices and networks remains challenging due to their vulnerabilities and the increasing complexity of cyber threats. Blockchain-based solutions offer promising avenues to enhance IoT security, yet their adoption is hindered by the lack of a unified taxonomy and comprehensive architectural analysis. To advance the field, a standardized classification system is essential for comparing different blockchain security models and identifying the most suitable options for specific IoT applications. Additionally, deeper architectural evaluations are needed to examine trade-offs related to security, scalability, and efficiency. Empirical assessments are also crucial to test how these models perform under various threat scenarios and operational environments. This paper addresses these gaps by proposing a structured taxonomy, conducting systematic architectural evaluations, and providing empirical performance assessments. These efforts aim to support the development of secure, efficient, and scalable blockchain-based security solutions tailored to the unique challenges of IoT systems. Ultimately, this work seeks to strengthen trust and reliability in the integration of blockchain technologies within the IoT ecosystem.