Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject anomaly detection
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 16-Jan-2024 | Application-Layer Anomaly Detection Leveraging Time-Series Physical Semantics in CAN-FD Vehicle Networks | Zhao, R; Luo, C; Gao, F; Gao, Z; Li, L; Zhang, D; Yang, W |
| 23-Oct-2023 | A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets | Elhalwagy, A; Kalganova, T |
| 22-Feb-2023 | Denial of Service Detection for IoT Networks Using Machine Learning | Abdulla, H; Al-Raweshidy, HS; Awad, W |
| 10-Nov-2023 | Multi-Channel LSTM-Capsule Autoencoder Network for Anomaly Detection on Multivariate Data | Elhalwagy, A; Kalganova, T |
| 20-Dec-2021 | Unsupervised anomaly detection in printed circuit boards through student–teacher feature pyramid matching | Adibhatla, VA; Huang, YC; Chang, MC; Kuo, HC; Utekar, A; Chih, HC; Abbod, MF; Shieh, JS |