COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and …
Objectives Review, compare and critically assess digital technology responses to the COVID-
19 pandemic around the world. The specific point of interest in this research is on predictive …
19 pandemic around the world. The specific point of interest in this research is on predictive …
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
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 on …
article, we conduct systematic syntheses of literature on the impact of new technologies on …
Survey on smart homes: Vulnerabilities, risks, and countermeasures
Over the last few years, the explosive growth of Internet of Things (IoT) has revolutionized
the way we live and interact with each other as well as with various types of systems and …
the way we live and interact with each other as well as with various types of systems and …
HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection
The continuous strengthening of the security posture of Internet of Things (IoT) ecosystems
is vital due to the increasing number of interconnected devices and the volume of sensitive …
is vital due to the increasing number of interconnected devices and the volume of sensitive …
Security risk measurement for information leakage in IoT-based smart homes from a situational awareness perspective
Internet-of-Things (IoT) is a technology that is extensively being used in various fields.
Companies like Samsung, LG, and Apple are launching home appliances that use IoT as a …
Companies like Samsung, LG, and Apple are launching home appliances that use IoT as a …
Artificial intelligence and machine learning in dynamic cyber risk analytics at the edge
We explore the potential and practical challenges in the use of artificial intelligence (AI) in
cyber risk analytics, for improving organisational resilience and understanding cyber risk …
cyber risk analytics, for improving organisational resilience and understanding cyber risk …
A Comprehensive Survey of Security Issues of Smart Home System:“Spear” and “Shields,” Theory and Practice
J Yang, L Sun - IEEE Access, 2022 - ieeexplore.ieee.org
The rapid development and wide application of the Internet of Things (IoT) and sensor
technologies have produced good opportunities for the development of IoT-based smart …
technologies have produced good opportunities for the development of IoT-based smart …
Cyber-security of embedded IoTs in smart homes: challenges, requirements, countermeasures, and trends
A Aldahmani, B Ouni, T Lestable… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Connected computers and sensors transmit data across the Internet to solve problems and
generate new services (IoT). Smart homes use IoT, for example. Smart home technology can …
generate new services (IoT). Smart homes use IoT, for example. Smart home technology can …
Cybersecurity and cyber forensics for smart cities: A comprehensive literature review and survey
Smart technologies, such as the Internet of Things (IoT), cloud computing, and artificial
intelligence (AI), are being adopted in cities and transforming them into smart cities. In smart …
intelligence (AI), are being adopted in cities and transforming them into smart cities. In smart …
Future developments in standardisation of cyber risk in the Internet of Things (IoT)
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 risk …
risk assessment standards to allow the calculation of economic impact from IoT cyber risk …