Blockchains for Artificial Intelligence of Things: A Comprehensive Survey

• Published in: IEEE internet of things journal Vol. 10; no. 16; p. 1
• Main Authors: Shen, Meng, Gu, Aijing, Kang, Jiawen, Tang, Xiangyun, Lin, Xiaodong, Zhu, Liehuang, Niyato, Dusit
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 15-08-2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial intelligence; artificial intelligence of things (AIoT); Blockchain; Blockchains; Cloud computing; Cryptography; Cybersecurity; Data privacy; Decision analysis; Decision making; deep learning (DL); Information retrieval; Internet of Things; machine learning (ML); Privacy; Security; Servers
• ISSN: 2327-4662; 2327-4662
• DOI: 10.1109/JIOT.2023.3268705

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 Artificial Intelligence 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 paper, 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 aspects of efficiency, security, privacy, trust, and incentive. Finally, we discuss the challenges and future research directions on blockchain for AIoT.