...Arash Heidari; Nima Jafari; Sherali Zeadally Purpose Today, anomaly detection is an important area studied across various fields to recognize unusual observations. This paper aims to explore the role of deep learning ( DL ) in developing effective anomaly detection systems (ADSs). Design...

... and reliability. Vibration signals are widely used for monitoring structural conditions; however, anomaly detection and damage localization in such complex environments remain challenging due to noise interference and the non-stationary nature of the signals. Design/methodology/approach This paper presents...

... threats of botnets to the home and personal Internet of Things (IoT), especially for the objective problem of insufficient resources for anomaly detection in the home environment, a novel kernel density estimation-based federated learning-based lightweight Internet of Things anomaly traffic detection...