In the last few years, visual sensors are deployed almost everywhere, generating a massive
amount of surveillance video data in smart cities that can be inspected intelligently to …

The consumer Internet of Things (IoT) have developed in recent years. Mass IoT devices are
constructed to build a huge communications network. But these devices are insecure in …

Anomaly detection is a key goal of autonomous surveillance systems that should be able to
alert unusual observations. In this paper, we propose a holistic anomaly detection system …

Deep neural networks (DNNs) have been showing significant success in various anomaly
detection applications such as smart surveillance and industrial quality control. It is …

Anomalies in the time series may indicate future faults—real-time system state monitoring
and early alerting demand novel computational anomaly detection methods. Internet of …

Despite the booming market of the Internet of Things (IoT), the weak security protection of
IoT devices makes anomaly detection in IoT systems extremely challenging. This …

Anomalies in the time series may indicate future faults—real-time system state monitoring
and early alerting demand novel computational anomaly detection methods. Internet of …

The proliferation of consumer electronic products has engendered a substantial surge in
data generation and information exchange, concurrently escalating the potential for security …

Industrial cyber-physical systems (ICPSs) play an important role in many critical
infrastructures. To ensure the secure and reliable operation of ICPSs, this work presents a …

The prevalence of Internet of Things (IoT) technologies is on the rise, making the
identification of anomalies in IoT systems crucial for ensuring their security and reliability …