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Title	Ransomware-Based Cyber Attacks: A Comprehensive Survey
ID_Doc	44140
Authors	Park J.H.; Singh S.K.; Salim M.M.; Azzaoui A.E.L.; Park J.H.
Year	2022
Published	Journal of Internet Technology, 23, 7
DOI	http://dx.doi.org/10.53106/160792642022122307010
Abstract	Internet of Things (IoT) and sensor devices have been connected due to the development of the IoT and Information Communication Technology (ICT). It offers automatic environments in smart city and IoT scenarios and describes investments in advanced resources in futuristic human lives as sustainable growth of quality-wise life with intelligent infrastructure. Nowadays, IoT devices are continuously increasing and utilized in advanced IoT applications, including Smart Homes, Smart Farming, Smart Enterprises, and others. However, security and privacy are significant challenges with Ransomware-based Cyber-attack detection in IoT due to the lack of security design and heterogeneity of IoT devices. In the last few years, various advanced paradigms and technologies have been utilized to mitigate the security issues with Ransomware attack detection in IoT devices and data. This paper comprehensively surveys Ransomware-based Cyber Attacks and discusses solutions based on advanced technologies such as Artificial Intelligence (AI), Blockchain, and Software Defined Networks (SDN). Then, we design service scenarios for ransomware-based cyber-attack detection. Finally, we summarize the open research challenges and future directions for ransomware in IoT. © 2022 Taiwan Academic Network Management Committee. All rights reserved.
Author Keywords	AI; Blockchain; Cyber attack detection; IoT; Ransomware

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