There has been increased interest in applying artificial intelligence (AI) in various settings to inform decision-making and facilitate predictive analytics. In recent times, there have also been attempts to utilize blockchain (a peer-to-peer distributed system) to facilitate AI applications, for example, in secure data sharing (for model training), preserving data privacy, and supporting trusted AI decision and decentralized AI. Hence, in this paper, we perform a comprehensive review of how blockchain can benefit AI from these four aspects. Our analysis of 27 English-language articles published between 2018 and 2021 identifies a number of research challenges and opportunities.
With the development of telecommunication systems and customized monitoring devices, telehealth has been widely used to improve medical quality and reduce overall health costs. However, the convenience of connection between the providers and patients through a public channel also leads to significant security and privacy concerns. Though there have been many authentication schemes designed for secure communications in telecare systems, most of them suffer from malicious attacks or have heavy computation and communication costs. Thus, in this article, we proposed a blockchain-based user authentication scheme integrating with access control and physical unclonable function (PUF). Permissioned blockchain and PUF are used to support secure data sharing across the healthcare service providers and identify the devices, respectively. Security analysis shows that our protocol satisfies the security requirements for telehealth services and is provably secure in the random oracle model. The performance evaluation demonstrates that it has less computation and communication costs compared with three of the latest schemes.
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