Recent Advancements in Blockchain-enabled Internet of Things (IoT): Architectures, Security, Applications, Challenges, and Future Directions
Keywords:
Artificial intelligence, Blockchain, Consensus algorithms, Cybersecurity, Distributed ledger technology, Edge computing, Industry 5.0, Internet of ThingsAbstract
The Internet of Things (IoT) has revolutionized the way physical devices interact with digital systems by enabling seamless communication among billions of interconnected sensors, actuators, and smart devices. The rapid adoption of IoT technologies across healthcare, smart cities, industrial automation, transportation, agriculture, and energy systems has significantly improved operational efficiency and data-driven decision-making. Despite these advancements, conventional IoT architectures remain heavily dependent on centralized cloud infrastructures, making them vulnerable to security breaches, privacy leakage, data tampering, limited scalability, and single points of failure. These limitations hinder the development of highly secure, trustworthy, and autonomous IoT ecosystems. Blockchain technology has emerged as a promising distributed ledger technology capable of addressing many of these challenges through decentralization, cryptographic security, immutable data storage, distributed consensus, and programmable smart contracts. By eliminating reliance on centralized intermediaries, blockchain enhances trust among heterogeneous IoT devices while ensuring data integrity, traceability, transparency, and non-repudiation. Recent developments in lightweight blockchain protocols, permissioned blockchain networks, edge computing, fog computing, Artificial Intelligence (AI), federated learning, and digital twins have further accelerated the adoption of blockchain-enabled IoT systems. This paper presents a comprehensive review of recent advancements in blockchain-enabled IoT by examining the underlying architectures, blockchain platforms, consensus algorithms, smart contract frameworks, security mechanisms, scalability solutions, and emerging application domains. Furthermore, the paper analyzes existing research challenges including computational overhead, transaction latency, interoperability, energy consumption, and regulatory issues.
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