Abstract Automatic anomaly detection is a crucial task in video surveillance system intensively used for public safety and others. The present adopts spatial branch temporal unified network that exploits both information effectively. has residual autoencoder architecture, consisting of deep convolutional neural network-based encoder multi-stage channel attention-based decoder, trained an unsupe...

Gaussian mixture modeling is a generative probabilistic model that assumes the observed data are generated from of multiple distributions. This provides flexible approach to complex distributions may not be easily represented by single distribution. The with noise component refers finite includes an additional background or outliers in data. helps take into account presence anomalies latter asp...

Abstract Previous attacks have shown that in-vehicle networks vulnerabilities and a successful attack could lead to significant financial loss danger life. In this paper, we propose Pearson correlation based anomaly detection algorithm detect CAN message modification attacks. The does not need priori information about the communication: it identifies signals on statistical properties, finds imp...