A systematic review of artificial intelligence applications in Internet of Things, blockchain, and quantum cryptography

The intersection of Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, and Quantum Computing have a great chance to enhance the security of the digital world. The main objective of this study is to analyze and synthesize previous studies on the integration of AI, IoT, Blockchain, and Quantum Cryptography. It focuses on the role of AI to improve IoT, and Blockchain cryptography in the era of quantum computing. This systematic literature review (SLR) identifies the challenges, opportunities, and future directions of the application of AI in these technologies. The reviewed articles are collected from nine commonly used databases namely: IEEE Xplore, Google Scholar, ACM, Nature, Scopus, Springer, MDPI, Wiley, and ScienceDirect. The searching is carried out using search strings such as: “IoT AND cryptography AND Quantum AND AI “and” Blockchain AND cryptography AND Quantum AND AI”. The collected articles are screened based on their Title and Abstract, then followed with a list of inclusion and extraction criteria. Lastly, a total of 103 journals and conference papers are fully reviewed and findings are synthesized thematically to answer the research questions. Overall, the result of the SLR specifies the effect of AI in improving IoT and Blockchain cryptographic in the era of Quantum Computing. Generally, this study shows that the importance of implementing multidisciplinary studies to advance the integration of AI with these emerging technologies.