All Outputs (2)

A stacking ensemble of deep learning models for IoT intrusion detection (2023)
Journal Article
Lazzarini, R., Tianfield, H., & Charissis, V. (2023). A stacking ensemble of deep learning models for IoT intrusion detection. Knowledge-Based Systems, 279, Article 110941. https://doi.org/10.1016/j.knosys.2023.110941

The number of Internet of Things (IoT) devices has increased considerably in the past few years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a consequence, the prompt detection of attacks in IoT environments thr... Read More about A stacking ensemble of deep learning models for IoT intrusion detection.

Federated Learning for IoT Intrusion Detection (2023)
Journal Article
Lazzarini, R., Tianfield, H., & Charissis, V. (2023). Federated Learning for IoT Intrusion Detection. Artificial Intelligence, 4(3), 509-530. https://doi.org/10.3390/ai4030028

The number of Internet of Things (IoT) devices has increased considerably in the past few years, resulting in a large growth of cyber attacks on IoT infrastructure. As part of a defense in depth approach to cybersecurity, intrusion detection systems... Read More about Federated Learning for IoT Intrusion Detection.