… Hence, we propose a distributed and scalable internal anomaly detection system in this
work. The detection system operation is integrated with RPL, which is a standard routing …

… Systems identify anomalous behavior of the network and consequently detect possible …
anomaly detection approaches and systems specific to Internet of Things. For this purpose, …

… In the following section, we illustrate a general environment for anomaly detection/… for
anomaly detection/prediction. Following that, we survey the existing solutions for anomaly detection…

… Secondly, the anomaly detector proposed in this work is intended for protection of
resource-constrained devices, while the DARPA benchmarks represent traffic from general-purpose …

… anomaly detection model of deep learning cloud computing system in the future. In order to
improve the online serviceability of the Internet of things, … principle of anomaly detection in a …

… challenges in detecting anomaly and monitoring all … multi-platform monitoring and anomaly
detection system that supports … feature for the early anomaly detection of IoT communication. …

… ML has many uses in anomaly detection [4]. Among ML techniques, Artificial … of anomaly
detection [5]. The following algorithms, often used in classification tasks and anomaly detection …

… to use anomaly detection to detect previously … to detect zero-days exploits in IoT applications.
We propose the use of unsupervised machine learning approaches to infer anomalies in …

… anomalies which may be encountered in an IoT system. The potential uses of anomaly detection
… which complicate the process of anomaly detection. Section V investigates the range of …

… networks (GNNs) for anomaly detection in IIoTenabled smart … In addition to the GNN-empowered
anomaly detection … real-time detection in iot environment,” IEEE Internet Things J., …