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Title	A Multidisciplinary Approach To Internet Of Things (Iot) Cybersecurity And Risk Management
ID_Doc	2884
Authors	Choo K.-K.R.; Gai K.; Chiaraviglio L.; Yang Q.
Year	2021
Published	Computers and Security, 102
DOI	http://dx.doi.org/10.1016/j.cose.2020.102136
Abstract	As Internet of Things (IoT) devices and systems become more tightly integrated with our society (e.g., smart city and smart nation) and the citizens (e.g., implantable and insertable medical IoT devices), the need to understand, manage and mitigate cybersecurity risks becomes more pronounced. The ongoing interest in IoT security research is evidenced by the number of high quality submissions we received in this special issue. Of the 47 submissions received, only 11 papers were accepted after several rounds of reviews by subject matter experts (i.e., acceptance rate of 23.4%) and each submission was reviewed by three or more subject matter experts. This special issue presents advances and existing and emerging challenges in this 11 accepted papers, authored by researchers from Canada, China, Germany, Greece, India, Israel, Macao, Norway, Qatar, Saudi Arabia, Singapore, United Kingdom, and United States. © 2020
Author Keywords	Cybersecurity; IoT security; Machine learning; Multidisciplinary cybersecurity research; Risk management

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