13 citations · 50 across the 19 of their papers we have counts for
7 papers · 1 filter
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection
James Pope, Jinyuan Liang, Vijay Kumar +13
Security research has concentrated on converting operating system audit logs into suitable graphs, such as provenance graphs, for analysis. However, provenance graphs can grow very…
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices
Ioannis Mavromatis, Adrian Sanchez-Mompo, Francesco Raimondo +8
Data integrity becomes paramount as the number of Internet of Things (IoT) sensor deployments increases. Sensor data can be altered by benign causes or malicious actions. Mechanism…
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework
Ioannis Mavromatis, Aftab Khan
This paper presents LE3D; a novel data drift detection framework for preserving data integrity and confidentiality. LE3D is a generalisable platform for evaluating novel drift dete…
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges
Diya Anand, Ioannis Mavromatis, Pietro Carnelli +1
Data-enabled cities are recently accelerated and enhanced with automated learning for improved Smart Cities applications. In the context of an Internet of Things (IoT) ecosystem, t…
Securing Synchronous Flooding Communications: An Atomic-SDN Implementation
Charles Lockie, Ioannis Mavromatis, Aleksandar Stanoev +2
Synchronous Flooding (SF) protocols can enhance the wireless connectivity between Internet of Things (IoT) devices. However, existing SF solutions fail to introduce sufficient secu…
Reliable IoT Firmware Updates: A Large-scale Mesh Network Performance Investigation
Ioannis Mavromatis, Aleksandar Stanoev, Anthony J. Portelli +4
Internet of Things (IoT) networks require regular firmware updates to ensure enhanced security and stability. As we move towards methodologies of codifying security and policy deci…
A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques
Ioannis Mavromatis, Aleksandar Stanoev, Pietro Carnelli +3
A dataset of street light images is presented. Our dataset consists of images, taken from 140 UMBRELLA nodes installed in the South Gloucestershire region in th…