… In this chapter we focus on network anomaly detection using streaming algorithms and …
area of network anomaly detection. 2 Discrete Algorithms for Network Anomaly Detection …

… However, to the best of our knowledge, there has so far been no reported work on network
anomaly detection using wavelet transforms. The proposed algorithm checks the wavelet …

… In this section, we present a hypothesis testing framework for making anomaly detection
decisions. As mentioned earlier, the crux of our methodology is to model network traffic as a …

… will lead to abnormal communication volume. Despite the … anomaly detection algorithms
for communication networks … In real-world anomaly detection for communication networks, …

… This thesis presents an interpretation of anomalies and the basic theory of how to detect them
… for anomaly detection and for summarising the information obtained about the anomalies. …

… In: Security and privacy in communication networks, Lecture notes of the institute for
computer sciences, social informatics and telecommunications engineering, vol. 153. Springer …

… node-level anomaly detection in communication networks. We went beyond the aggregated
representations that the existing literature has used to model the communication activity. In…

… vulnerable networks, leading to low accuracy and detection … a novel anomaly detection
in communication networks by … -based anomaly detection in communication networks (ADCNs). …

… most important aspects pertaining to anomaly detection, covering an overview … anomaly
detection domain was reviewed under five dimensions: (1) network traffic anomalies, (2) network …

… How to find anomaly network traffic is significantly important for normal applications of … This
paper studies traffic anomaly detection problem in large-scale communication networks with …