Now showing items 1-6 of 6
An anomaly detection model utilizing attributes of low powered networks, IEEE 802.15.4e/TSCH and machine learning methods
The rapid growth in sensors, low-power integrated circuits, and wireless communication standards has enabled a new generation of applications based on ultra-low powered wireless sensor networks. These are employed in many ...
A framework for privacy-preserving data sharing in smart grid
While smart grid introduces a lot of enhancements to the traditional power grid and improves managing and controlling consumers demands, it also introduces security and privacy issues. Therefore, failure to address them ...
Towards a computational model of information trust
Information has been an essential element in the development of collaborative and cooperative frameworks. From decision making to the attainment of different goals, people have been relatively adept at making judgments ...
Secure and privacy-preserving fog-assisted vehicular crowdsensing
Vehicular crowdsensing (VCS) is an emerging paradigm where vehicles use onboard sensors to collect and share data with the aim of measuring phenomena of common interest. VCS has allowed for automated control as well as ...
A privacy preservation framework for smart connected toys
Advances within the toy industry and interconnectedness have resulted in the rapid and pervasive development of Smart Connected Toys (SCTs), built to aid children in learning, socialization, and development. A SCT is a ...
Agent-based modeling framework for adaptive cyber defence of the Internet of Things
The adoption of the Internet of Things (IoT) continues to increase significantly, introducing unique challenges and threats to cybersecurity. In parallel, adaptive and autonomous cyber defence has become an emerging research ...