… anomaly detection schemes for identifying different network intrusions. Several existing
supervised and unsupervised anomaly detection schemes … appropriate when detecting attacks …

… From the above experimental results, our proposed anomaly detection scheme based on
the principal components works effectively in identifying the attacks. The only comparable …

… anomaly detection method becomes imperative to thwart the malicious attacks against it. In
this paper, we propose a new anomaly detection scheme … conventional detection schemes in …

… 3 The Proposed Hybrid Anomaly Detection Scheme In this section, we propose a new hybrid
anomaly detection scheme applied in WSNs. For detection of the hybrid anomaly, the entire …

… In the rest of this section, we will present the anomaly detection schemes based on (1)
machine learning algorithms; (2) federated learning; and (3) data sources and dimensions. …

… in IoT, this paper proposes an anomaly detection method for sensing data streams based on
… data anomaly detection model, the improved confidence interval is used to detect whether …

… anomaly detection, we provide a detailed discussion of the application domains where anomaly
detection … notion of an anomaly, the different aspects of the anomaly detection problem, …

… sequential anomaly detection, this paper proposes a network anomaly detection scheme
LogNADS … Furthermore, to better detect the sequential anomalies, we utilize the sliding window …

… detection of an anomaly is of dubious value. Existing methods for on-the-fly access anomaly
detection … an efficient cachebased access anomaly detection scheme that piggybacks on the …

… In this chapter, a novel anomaly detection scheme that uses a robust principal component
classifier (PCC) to handle computer network security problems is proposed. An intrusion …