TY - JOUR
T1 - A multidisciplinary approach to Internet of Things (IoT) cybersecurity and risk management
AU - Choo, Kim Kwang Raymond
AU - Gai, Keke
AU - Chiaraviglio, Luca
AU - Yang, Qing
N1 - Publisher Copyright:
© 2020
PY - 2021/3
Y1 - 2021/3
N2 - 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.
AB - 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.
KW - Cybersecurity
KW - IoT security
KW - Machine learning
KW - Multidisciplinary cybersecurity research
KW - Risk management
UR - http://www.scopus.com/inward/record.url?scp=85097767161&partnerID=8YFLogxK
U2 - 10.1016/j.cose.2020.102136
DO - 10.1016/j.cose.2020.102136
M3 - Editorial
AN - SCOPUS:85097767161
SN - 0167-4048
VL - 102
JO - Computers and Security
JF - Computers and Security
M1 - 102136
ER -
