TY - JOUR
T1 - Ransomware-based Cyber Attacks
T2 - A Comprehensive Survey
AU - Park, Jin Ho
AU - Singh, Sushil Kumar
AU - Salim, Mikail Mohammed
AU - Azzaoui, Abir E.L.
AU - Park, Jong Hyuk
N1 - Publisher Copyright:
© 2022 Taiwan Academic Network Management Committee. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - AI
KW - Blockchain
KW - Cyber attack detection
KW - IoT
KW - Ransomware
UR - http://www.scopus.com/inward/record.url?scp=85146314357&partnerID=8YFLogxK
U2 - 10.53106/160792642022122307010
DO - 10.53106/160792642022122307010
M3 - Article
AN - SCOPUS:85146314357
SN - 1607-9264
VL - 23
SP - 1557
EP - 1564
JO - Journal of Internet Technology
JF - Journal of Internet Technology
IS - 7
ER -