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 …

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 …

Deep anomaly detection for time-series data in industrial IoT: A communication-efficient on-device federated learning approach

Y Liu, S Garg, J Nie, Y Zhang, Z Xiong… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Since edge device failures (ie, anomalies) seriously affect the production of industrial
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 …

Communication-efficient federated learning for anomaly detection in industrial internet of things

Y Liu, N Kumar, Z Xiong, WYB Lim… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
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 …

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 …

[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 …

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 …

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 …

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 …