S Katamoura, MS Aksoy… - 2024 21st Learning and …, 2024 - ieeexplore.ieee.org
This paper explores the critical intersection of security and privacy in advanced artificial intelligence (AI) and machine learning (ML) with Internet of Things (IoT) systems and edge …
Unsupervised anomaly detection tackles the problem of finding anomalies inside datasets without the labels availability; since data tagging is typically hard or expensive to obtain …
S Madabhushi, R Dewri - International Journal of Information Security, 2023 - Springer
The power grid is a constant target for attacks as they have the potential to affect a large geographical location, thus affecting hundreds of thousands of customers. With the advent of …
Negli ultimi dieci anni la disponibilità di grandi quantità di dati e potenza di calcolo ha spinto la comunità scientifica verso lo sviluppo di algoritmi capaci di imparare autonomamente dai …
Embedded system such as microcontrollers has become more powerful and cheaper during the past couple of years. This has led to more and more development of on-edge …
Comparative analysis of anomaly recognition methods in real time Page 1 Comparative analysis of anomaly recognition methods in real time Nikita V. Gololobov1, Konstantin E. Izrailov2,3, and …