Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges
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Abstract (arXiv)
The blockchain technology is taking the world by storm. Blockchain with its decentralized, transparent and secure nature has emerged as a disruptive technology for the next generation of numerous industrial applications. One of them is Cloud of Things enabled by the combination of cloud computing and Internet of Things. In this context, blockchain provides innovative solutions to address challenges in Cloud of Things in terms of decentralization, data privacy and network security, while Cloud of Things offer elasticity and scalability functionalities to improve the efficiency of blockchain operations. Therefore, a novel paradigm of blockchain and Cloud of Things integration, called BCoT, has been widely regarded as a promising enabler for a wide range of application scenarios. In this paper, we present a state-of-the-art review on the BCoT integration to provide general readers with an overview of the BCoT in various aspects, including background knowledge, motivation, and integrated architecture. Particularly, we also provide an in-depth survey of BCoT applications in different use-case domains such as smart healthcare, smart city, smart transportation and smart industry. Then, we review the recent BCoT developments with the emerging blockchain and cloud platforms, services, and research projects. Finally, some important research challenges and future directions are highlighted to spur further research in this promising area.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Aug 2019.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 1; 2026: 1.
4 papers.
- 2025Federated Learning for Cyber Physical Systems: A Comprehensive Surveycited by 6
- 2026Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consensus-based Approachcited by 2
- 2023The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistenciescited by 0
- 2024Permissioned Blockchain-based Framework for Ranking Synthetic Data Generatorscited by 0
- 2026Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consensus-based Approach24 Jan 2026
- 2025Federated Learning for Cyber Physical Systems: A Comprehensive Survey8 May 2025
- 2024Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators12 May 2024
- 2023The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies11 Oct 2023