A multidisciplinary approach to Internet of Things (IoT) cybersecurity and risk management. Issue 102 (March 2021)

• Record Type: Journal Article
• Authors: Choo, Kim-Kwang Raymond; Gai, Keke; Chiaraviglio, Luca; Yang, Qing
• Is Part Of: Computers & security. Issue 102(2021)
• Publication Date: 2021-03
• Subjects: Multidisciplinary cybersecurity research -- Cybersecurity -- Risk management -- Machine learning -- IoT security; Computer security -- Periodicals; Electronic data processing departments -- Security measures -- Periodicals; 005.805
• DOI: 10.1016/j.cose.2020.102136
• Languages: English
• ISSNs: 0167-4048

Abstract

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.