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Title	Integrating Blockchain With Artificial Intelligence To Secure Iot Networks: Future Trends
ID_Doc	31949
Authors	Alharbi S.; Attiah A.; Alghazzawi D.
Year	2022
Published	Sustainability (Switzerland), 14, 23
DOI	http://dx.doi.org/10.3390/su142316002
Abstract	Recently, the Internet of Things (IoT) has gained tremendous popularity in several realms such as smart cities, healthcare, industrial automation, etc. IoT networks are increasing rapidly, containing heterogeneous devices that offer easy and user-friendly services via the internet. With the big shift to IoT technology, the security of IoT networks has become a primary concern, especially with the lack of intrinsic security mechanisms regarding the limited capabilities of IoT devices. Therefore, many studies have been interested in enhancing the security of IoT networks. IoT networks need a scalable, decentralized, and adaptive defense system. Although the area of development provides advanced security solutions using AI and Blockchain, there is no systematic and comprehensive study talking about the convergence between AI and Blockchain to secure IoT networks. In this paper, we focus on reviewing and comparing recent studies that have been proposed for detecting cybersecurity attacks in IoT environments. This paper address three research questions and highlights the research gaps and future directions. This paper aims to increase the knowledge base for enhancing IoT security, recommend future research, and suggest directions for future research. © 2022 by the authors.
Author Keywords	antivirus; artificial intelligence; blockchain; cybersecurity; Internet of Things (IoT); intrusion detection system; network security

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