Anomaly detection in smart environments is important when dealing with rare events, which
can be safety-critical to individuals or infrastructure. Safety-critical means in this case, that …

Nowadays that various aspects of our lives depend on complex cyber-physical systems,
automated anomaly detection, as well as attack prevention and reaction have become of …

The anomaly detection in automated video surveillance is considered as one of the most
critical tasks to be solved, in which we aim to detect a variety of real-world abnormalities …

With Digital transformation, the diversity of services and infrastructure in backhaul fog
network (s) is rising to unprecedented levels. This is causing a rising threat of a wider range …

Surveillance videos are considered as a very important mechanism in a smart city project. In
recent years, a method called deep learning was combined with reinforcement learning …

In this work, we considered the problem of anomaly detection in next-generation cyber-
physical systems (NG-CPS). For this, we used a double deep Q-network-enabled …

Abnormal event detection with the lowest latency is an indispensable function for safety-
critical systems, such as cyber defense systems. However, as systems become increasingly …

The detection of abnormal events in surveillance footage remains a challenge and has been
the scope of various research works. Having observed that the state-of-the-art performance …

To address the anomaly detection problem in the presence of noisy observations and to
tackle the tuning and efficient exploration challenges that arise in deep reinforcement …

This paper addresses the problem of joint detection and recounting of abnormal events in
videos. Recounting of abnormal events, ie, explaining why they are judged to be abnormal …