Two-Phase Dual-Adversarial Agents With Multivariate Information for Unsupervised Anomaly Detection of IIoT-Edge Devices
Y Chang, J Chen, R Su, J Xie… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the improvement of intelligence and integration, automatic supervision of large-scale
systems is a current challenge in guaranteeing the high-reliability of edge devices. Hence …
systems is a current challenge in guaranteeing the high-reliability of edge devices. Hence …
Dual auto-encoder GAN-based anomaly detection for industrial control system
L Chen, Y Li, X Deng, Z Liu, M Lv, H Zhang - Applied Sciences, 2022 - mdpi.com
As a core tool, anomaly detection based on a generative adversarial network (GAN) is
showing its powerful potential in protecting the safe and stable operation of industrial control …
showing its powerful potential in protecting the safe and stable operation of industrial control …
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 …
A Secure Hybrid Deep Learning Technique for Anomaly Detection in IIoT Edge Computing
B Konatham, T Simra, F Amsaad, MI Ibrahem… - Authorea …, 2024 - essopenarchive.org
The IIoT network involves smart sensors, actuators, and technologies extending IoT
capabilities across industrial sectors. With the rapid development in connected technology …
capabilities across industrial sectors. With the rapid development in connected technology …
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 …
An adaptive deep-ensemble anomaly-based intrusion detection system for the internet of things
K Albulayhi, FT Sheldon - 2021 IEEE World AI IoT Congress …, 2021 - ieeexplore.ieee.org
Nowadays, IoT technology has become an essential part of many aspects of life and
business. Nevertheless, such widespread application has come at the cost of many security …
business. Nevertheless, such widespread application has come at the cost of many security …
[HTML][HTML] Binary-Convolution Data-Reduction Network for Edge–Cloud IIoT Anomaly Detection
C Xie, W Tao, Z Zeng, Y Dong - Electronics, 2023 - mdpi.com
Industrial anomaly detection, which relies on the analysis of industrial internet of things (IIoT)
sensor data, is a critical element for guaranteeing the quality and safety of industrial …
sensor data, is a critical element for guaranteeing the quality and safety of industrial …
IGWO-SoE: Improved grey wolf optimization based stack of ensemble learning algorithm for anomaly detection in internet of things edge computing
J Manokaran, G Vairavel - IEEE Access, 2023 - ieeexplore.ieee.org
With the tremendous growth and popularization of the Internet of Things (IoT), the number of
attacks targeting such devices has also increased. Therefore, enhancing the anomaly …
attacks targeting such devices has also increased. Therefore, enhancing the anomaly …
A secure and efficient IIoT anomaly detection approach using a hybrid deep learning technique
BR Konatham - 2023 - corescholar.libraries.wright.edu
Abstract The Industrial Internet of Things (IIoT) refers to a set of smart devices, ie, actuators,
detectors, smart sensors, and autonomous systems connected throughout the Internet to …
detectors, smart sensors, and autonomous systems connected throughout the Internet to …
ML-assisted Security for Anomaly Detection in Industrial IoT (IIoT) Applications
BR Konatham, T Simra, A Ghimire… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
The industrial Internet of Things (IIoT) uses intelligent sensors and actuators, etc., to facilitate
the application of IoT in different industries. This paper presents a comparative analysis …
the application of IoT in different industries. This paper presents a comparative analysis …