… • We formulate a paradigm shift in terms of developing anomaly detection systems for IIoT
by adding aging as a key process parameter. • We develop an efficient anomaly detection …

… We illustrate the three phases of the proposed anomaly detection system in the following …
detection performance, and reducing prediction time. Our proposed anomaly detection employs …

… 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., …

… In this section, we describe different review papers on anomaly detection in industrial
environments found in the literature as shown in Table 1. De et al. (2022) review deep generative …

… In order to address this challenge, this paper proposes an anomaly detection technique for
IICSs based on deep learning models that can learn and validate using information collected …

… on classification methods is performed for anomaly detection over IIoT systems specifically
in water … and detection of intrusions and attacks will help system administrators and industrial …

… In the classification stage, anomaly-based ensemble … model, we evaluate our anomaly
detection approach on a new … that our proposed anomaly detection method achieved a higher …

… of industrial field data and proposes an anomaly detection … This method can effectively
realize data anomaly detection in … anomaly detection and multisource data anomaly detection. …

… anomalies. In this article, we introduce a conceptual architecture for IIoT anomaly detection
… test it through a proof-of-concept of industrial relevance. The architecture is derived from the …

… methods focus on the abnormal recognition of single dimension periodic or simple pattern
… degradation of anomaly detection methods. Although various anomaly detection methods …