Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly
detection (AD). With the rapid increase in the number of Internet-connected devices, the
growing desire for Internet of Things (IoT) devices in the home, on our person, and in our
vehicles, and the transition to smart infrastructure and the Industrial IoT (IIoT), anomaly
detection in these devices is critical. This paper is a survey of anomaly detection in sensor
networks/the IoT. This paper defines what an anomaly is and surveys multiple sources …