With the increasing population of Industry 4.0, industrial big data (IBD) has become a hotly
discussed topic in digital and intelligent industry field. The security problem existing in the …

Heterogeneous cyberattacks against industrial control systems (ICSs) have had a strong
impact on the physical world in recent decades. Connecting devices to the internet enables …

As a substantial amount of multivariate time series data is being produced by the complex
systems in smart manufacturing (SM), improved anomaly detection frameworks are needed …

Anomalous data are such data that deviate from a large number of normal data points, which
often have negative impacts on various systems. Current anomaly detection technology …

High-dimensional problem domains pose significant challenges for anomaly detection. The
presence of irrelevant features can conceal the presence of anomalies. This problem, known …

The data generated by millions of sensors in the industrial Internet of Things (IIoT) are
extremely dynamic, heterogeneous, and large scale and pose great challenges on the real …

For emerging industrial Internet of Things (IIoT), intelligent anomaly detection is a key step to
build smart industry. Especially, explosive time-series data pose enormous challenges to the …

Abstract Industrial Control Systems (ICSs) are becoming more and more important in
managing the operation of many important systems in smart manufacturing, such as power …

With the rapid development of the Industrial Internet of Things (IIoT), various IoT devices and
sensors generate massive industrial sensing data. Sensing big data can be analyzed for …

Anomaly detection is an essential task for different fields in the real world. The imbalanced
data and lack of labels make the task challenging. Deep learning models based on …