Blockchains for Artificial Intelligence of Things: A Comprehensive Survey
Abstract
With the rapid advances in information and communication technologies, the Internet of Things (IoT) has become large and complex, bearing tremendous amounts of data and running devices in various scenarios. Leveraging artificial intelligence (AI) technologies, IoT can achieve superior information extraction, data analytics, and decision making, which has resulted in the revolutionized AI of Things (AIoT). AIoT can alleviate the pressure of storage, computation, and communication. Despite the promising features brought by combining AI technologies into IoT infrastructure, AIoT systems still face some serious challenges including inadequate efficiency, violation of security and privacy, lack of trust, and insufficient incentive. Blockchain featured by its distributed consensus and incentive mechanisms can be a promising technology for addressing the challenges in AIoT. AIoT employing blockchain is evolving with expectations of achieving efficient, secure, and trusted network activities. In this article, we first introduce the background of AIoT and blockchain. Then, we discuss the motivations for employing blockchain with its characteristics in AIoT. Furthermore, we comprehensively review existing solutions on blockchain for AIoT systems from the aspects of efficiency, security, privacy, trust, and incentive. Finally, we discuss the challenges and future research directions on blockchain for AIoT.
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Shen et al. [6] introduced the background of AIoT and blockchain, discussed motivations for using blockchain and its features in AIoT, and reviewed existing blockchain solutions for AIoT systems in terms of efficiency, security, privacy, trust, and incentives.
“Shen et al [6] introduced the background of AIoT and blockchain, and then discussed the motivations for using blockchain and its features in AIoT. In addition, it comprehensively reviewed the existing blockchain solutions of AIoT systems in terms of efficiency, security, privacy, trust, and incentives.”
From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [6]
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A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
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“As a new Internet technology, the Smart Internet of Things (SIoT) has ushered in a new wave of development in correspondence with the rise in artificial intelligence technologies, which can greatly help the development of intelligence in various fields (Shen et al. 2023).”
- Authors
- Shen, M., Gu, A., Kang, J., Tang, X., Lin, X., Zhu, L., & Niyato, D.
- Affiliations
- Beijing Institute of Technology (CN)
- Guangdong University of Technology (CN)
- Minzu University of China (CN)
- University of Guelph (CA)
- Nanyang Technological University (SG)
- Venue
- IEEE Internet of Things Journal
- Published
- 2023-08-15
- Volume
- 10
- Issue
- 16
- Pages
- 14483-14506
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W4366492996
- Cited by
- 54
- References
- 8
- Citations by year
- 2026: 9 · 2025: 18 · 2024: 23 · 2023: 3 · 2021: 1
- FWCI
- 12.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Internet of Things Journal (publishedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- Funders
- National Key Research and Development Program of China (2020YFB1006100)
- China National Funds for Excellent Young Scientists (62222201)
- Beijing Nova Program (Z201100006820006, 20220484174)
- NSFC Project (61972039)
- Beijing Natural Science Foundation (M23020, L222098, 7232041)
- National Research Foundation (NRF), Singapore
- Infocomm Media Development Authority under the Future Communications Research Development Programme
- DSO National Laboratories under the AI Singapore Programme (AISG2-RP-2020-019)
- Energy Research Test-Bed and Industry Partnership Funding Initiative
- Energy Grid (EG) 2.0 Programme
- DesCartes and the Campus for Research Excellence and Technological Enterprise (CREATE) Programme
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- blockchain, AIoT, Internet of Things, distributed consensus, incentive mechanisms, privacy and security, trust, efficiency
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