Deep anomaly detection for time-series data in industrial IoT: A communication-efficient on-device federated learning approach
Since edge device failures (ie, anomalies) seriously affect the production of industrial
products in Industrial IoT (IIoT), accurately and timely detecting anomalies are becoming …
products in Industrial IoT (IIoT), accurately and timely detecting anomalies are becoming …
Communication-efficient federated learning for anomaly detection in industrial internet of things
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 …
sensors generate massive industrial sensing data. Sensing big data can be analyzed for …
Toward accurate anomaly detection in industrial internet of things using hierarchical federated learning
The Industrial Internet of Things (IIoT) is an emerging technology that can promote the
development of industrial intelligence, improve production efficiency, and reduce …
development of industrial intelligence, improve production efficiency, and reduce …
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems
With the emergence of the Industrial Internet of Things (IIoT), potential threats to smart
manufacturing systems are increasingly becoming challenging, causing severe damage to …
manufacturing systems are increasingly becoming challenging, causing severe damage to …
Real-time deep anomaly detection framework for multivariate time-series data in industrial iot
H Nizam, S Zafar, Z Lv, F Wang, X Hu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The data produced by millions of connected devices and smart sensors in the Industrial
Internet of Things (IIoT) is highly dynamic, large-scale, heterogeneous, and time-stamped …
Internet of Things (IIoT) is highly dynamic, large-scale, heterogeneous, and time-stamped …
LSTM learning with Bayesian and Gaussian processing for anomaly detection in industrial IoT
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 …
extremely dynamic, heterogeneous, and large scale and pose great challenges on the real …
[HTML][HTML] An ensemble deep learning model for cyber threat hunting in industrial internet of things
By the emergence of the fourth industrial revolution, interconnected devices and sensors
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …
Integrated generative model for industrial anomaly detection via bidirectional LSTM and attention mechanism
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 …
build smart industry. Especially, explosive time-series data pose enormous challenges to the …
Security and privacy-enhanced federated learning for anomaly detection in IoT infrastructures
Internet of Things (IoT) anomaly detection is significant due to its fundamental roles of
securing modern critical infrastructures, such as falsified data injection detection and …
securing modern critical infrastructures, such as falsified data injection detection and …
Detecting cyberattacks using anomaly detection in industrial control systems: A federated learning approach
In recent years, the rapid development and wide application of advanced technologies have
profoundly impacted industrial manufacturing, leading to smart manufacturing (SM) …
profoundly impacted industrial manufacturing, leading to smart manufacturing (SM) …
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