S-KDGAN: Series-Knowledge Distillation with GANs for Anomaly Detection of Sensor Time-Series Data in Smart IoT
W Cheng, Y Li, T Ma - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Nowadays, smart Internet of Things (IoT) technology as a new paradigm has been widely
used in different fields of our lives. Massive amounts of high-dimensional time-series data …
used in different fields of our lives. Massive amounts of high-dimensional time-series data …
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 …
Imposters among us: A supervised learning approach to anomaly detection in iot sensor data
T Das, RM ShuklaT, S Sengupta - … on Internet of Things (WF-IoT …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) technology has made smart homes more prevalent in everyday lives.
However, anomalies in IoT data may be emblematic of potential cybersecurity risks like false …
However, anomalies in IoT data may be emblematic of potential cybersecurity risks like false …
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 …
TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT
Monitoring and detecting abnormal events in cyber-physical systems is crucial to industrial
production. With the prevalent deployment of the industrial Internet of Things (IIoTs), an …
production. With the prevalent deployment of the industrial Internet of Things (IIoTs), an …
Anomaly Detection for Industrial Sensors Using Transformers
M Yassine, F Théo - … Conference on Future Internet of Things …, 2023 - ieeexplore.ieee.org
Anomaly detection is a critical task in many domains, including the Internet of Things (IoT),
where large volumes of sensor data are generated from various devices. Traditional …
where large volumes of sensor data are generated from various devices. Traditional …
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 …
Analysis of deep learning models for anomaly detection in time series IoT sensor data
U Sachdeva, PR Vamsi - Proceedings of the 2022 Fourteenth …, 2022 - dl.acm.org
The anomaly detection in Internet of Things (IoT) sensor data has become an important
research area because of the possibility of noise and unavailability of labels in the sensors …
research area because of the possibility of noise and unavailability of labels in the sensors …
IoT-GAN: Anomaly Detection for Time Series in IoT Based on Generative Adversarial Networks
X Chen, S Zhang, Q Jiang, J Chen, H Huang… - … on Algorithms and …, 2021 - Springer
In order to monitor the behaviors of IoT devices, a large amount of time series data are
collected by sensors embedded in them. To take timely action further to resolve the …
collected by sensors embedded in them. To take timely action further to resolve the …
Anomaly Detection on Time series Sensor Data Using Deep LSTM-Autoencoder
S Githinji, CW Maina - 2023 IEEE AFRICON, 2023 - ieeexplore.ieee.org
Anomaly detection is crucial in various applications (eg, cybersecurity, manufacturing,
finance, IoT), and an automatic and reliable anomaly detection tool is necessary for accurate …
finance, IoT), and an automatic and reliable anomaly detection tool is necessary for accurate …