5 papers
COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalised medicine
Petar Radanliev, David De Roure, Rob Walton +5
A comprehensive bibliographic review with R statistical methods of the COVID pandemic in PubMed literature and Web of Science Core Collection, supported with Google Scholar search.…
Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars
Petar Radanliev, David De Roure, Kevin Page +6
Multiple governmental agencies and private organisations have made commitments for the colonisation of Mars. Such colonisation requires complex systems and infrastructure that coul…
Cyber Risk at the Edge: Current and future trends on Cyber Risk Analytics and Artificial Intelligence in the Industrial Internet of Things and Industry 4.0 Supply Chains
Petar Radanliev, David De Roure, Kevin Page +5
Digital technologies have changed the way supply chain operations are structured. In this article, we conduct systematic syntheses of literature on the impact of new technologies o…
Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems, cyber risk at the edge
Petar Radanliev, David De Roure, Max Van Kleek +7
The Internet of Things (IoT) triggers new types of cyber risks. Therefore, the integration of new IoT devices and services requires a self-assessment of IoT cyber security posture.…
Future developments in standardisation of cyber risk in the Internet of Things (IoT)
Petar Radanliev, David C De Roure, Jason RC Nurse +5
In this research article, we explore the use of a design process for adapting existing cyber risk assessment standards to allow the calculation of economic impact from IoT cyber ri…