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.
| Original language | English |
|---|---|
| Article number | 102136 |
| Journal | Computers and Security |
| Volume | 102 |
| DOIs | |
| Publication status | Published - Mar 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Cybersecurity
- IoT security
- Machine learning
- Multidisciplinary cybersecurity research
- Risk management
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