Blockchains for Artificial Intelligence of Things: A Comprehensive Survey

Meng Shen*, Aijing Gu, Jiawen Kang, Xiangyun Tang, Xiaodong Lin, Liehuang Zhu, Dusit Niyato

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)14483-14506
Number of pages24
JournalIEEE Internet of Things Journal
Volume10
Issue number16
DOIs
Publication statusPublished - 15 Aug 2023

Keywords

  • Artificial Intelligence of Things (AIoT)
  • blockchain
  • deep learning (DL)
  • machine learning (ML)

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