Detection of Zero-day Attacks via Sample Augmentation for the Internet of Vehicles
B Xu, J Zhao, B Wang, G He - Vehicular Communications, 2025 - Elsevier
Detecting zero-day attacks is a critical challenge in the Internet of Vehicles (IoV). Due to the
limited availability of labeled attack data, anomaly-based methods are predominantly …
limited availability of labeled attack data, anomaly-based methods are predominantly …
[HTML][HTML] Negative Selection Algorithm for Unsupervised Anomaly Detection
M Bereta - Applied Sciences, 2024 - mdpi.com
In this work, we present a modification of the well-known Negative Selection Algorithm
(NSA), inspired by the process of T-cell generation in the immune system. The approach …
(NSA), inspired by the process of T-cell generation in the immune system. The approach …
Machinery Fault Signal Detection with Deep One-Class Classification
D Yoon, J Yu - Applied Sciences, 2023 - mdpi.com
Fault detection of machinery systems is a fundamental prerequisite to implementing
condition-based maintenance, which is the most eminent manufacturing equipment system …
condition-based maintenance, which is the most eminent manufacturing equipment system …