… overview of anomaly detection in dynamic networks, … We first describe four types of anomalies
that arise in dynamic networks, … an anomaly, a general two-stage approach to anomaly …

… i) Unlike the existing literature, we go beyond a static viewpoint of anomaly detection to
capture the attack impact on the dynamics of system trajectories. To this end, we characterize the …

… to improve situation awareness is anomaly detection. In this article, we focus on the problem
of dynamic anomaly detection, ie, sequentially detecting anomalies in the motion of a target …

… In this paper, a new dynamic anomaly detection system for MANETs has been proposed.
For enhancing the security in MANETs, which are vulnerable to attacks, robust learning …

… We define the anomaly detection problem in dynamic network as follows: given the vertex …
existing representations into k clusters, and detect any newly arriving vertices or edges that do …

… anomaly detection. This study proposes a dynamic anomaly detection algorithm for building
… consumption data, which realizes the dynamic detection of point anomalies and collective …

… in the dynamic behavior. Such shifts are generally the cause for dynamic instability. Anomalous
behavior in systems therefore is a cause for dynamic instability and detecting such shifts …

… , and intrusion detection in cyber security. In the existing anomaly detection approaches,
Markov … In this paper, we propose an anomaly detection approach based on a dynamic Markov …

… the anomaly detection methods over graphs without timestamps to see whether the framework
can exploit the content and structural features effectively, and then extend to the dynamic …

… dynamic deep graph embedding technique with a clustering-based detector to detect
anomalies… novel Transformer-based Anomaly Detection framework for DYnamic graph (TADDY for …