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Cited 4 time in webofscience Cited 13 time in scopus
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Ransomware-based Cyber Attacks: A Comprehensive Surveyopen access

Authors
Park, Jin HoSingh, Sushil KumarSalim, Mikail MohammedEL Azzaoui, AbirPark, Jong Hyuk
Issue Date
Dec-2022
Publisher
National Dong Hwa University
Keywords
Ransomware; Cyber attack detection; AI; Blockchain; IoT
Citation
Journal of Internet Technology, v.23, no.7, pp 1557 - 1564
Pages
8
Indexed
SCIE
SCOPUS
Journal Title
Journal of Internet Technology
Volume
23
Number
7
Start Page
1557
End Page
1564
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/21759
DOI
10.53106/160792642022122307010
ISSN
1607-9264
2079-4029
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.
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