Anomaly detection for industrial control system based on autoencoder neural network
C Wang, B Wang, H Liu, H Qu - Wireless Communications and …, 2020 - Wiley Online Library
As the Industrial Internet of Things (IIoT) develops rapidly, cloud computing and fog
computing become effective measures to solve some problems, eg, limited computing …
computing become effective measures to solve some problems, eg, limited computing …
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 …
MTAD: Multi-Objective Transformer Network for Unsupervised Multi-Sensor Anomaly Detection
Multisensor anomaly detection plays a crucial role in several applications, including
industrial monitoring, network-intrusion detection, and healthcare monitoring. However, the …
industrial monitoring, network-intrusion detection, and healthcare monitoring. However, the …
[HTML][HTML] Deep Autoencoder-Based Integrated Model for Anomaly Detection and Efficient Feature Extraction in IoT Networks
The intrusion detection system (IDS) is a promising technology for ensuring security against
cyber-attacks in internet-of-things networks. In conventional IDS, anomaly detection and …
cyber-attacks in internet-of-things networks. In conventional IDS, anomaly detection and …
GAN-based data augmentation strategy for sensor anomaly detection in industrial robots
In the current industry world, the industrial robot has emerged as a critical device to make
the manufacturing process more efficient through automation. However, abnormal operation …
the manufacturing process more efficient through automation. However, abnormal operation …
A hybrid deep sensor anomaly detection for autonomous vehicles in 6G-V2X environment
Autonomous Vehicles (AVs) exchange real-time and seamless data between other AVs and
the network, thus revolutionizing the Intelligent Transportation System (ITS). Automated …
the network, thus revolutionizing the Intelligent Transportation System (ITS). Automated …
Adaptive anomaly detection for internet of things in hierarchical edge computing: A contextual-bandit approach
The advances in deep neural networks (DNN) have significantly enhanced real-time
detection of anomalous data in IoT applications. However, the complexity-accuracy-delay …
detection of anomalous data in IoT applications. However, the complexity-accuracy-delay …
Ensemble bagging approach for IoT sensor based anomaly detection
The IoT is the next age of communication, as the rapidity of connecting physical objects
around us to the internet is mounting swiftly. The inanimate physical devices can be …
around us to the internet is mounting swiftly. The inanimate physical devices can be …
[PDF][PDF] An SDN-Orchestrated Artificial Intelligence-Empowered Framework to Combat Intrusions in the Next Generation Cyber-Physical Systems
W Min, W Almughalles, MSA Muthanna… - HUMAN-CENTRIC …, 2024 - researchgate.net
Automated communication within heterogeneous connectivity of participating devices is an
exceptional idea that has allowed the world to take modernized network communication for …
exceptional idea that has allowed the world to take modernized network communication for …
Ensemble-based efficient anomaly detection for smart building control systems
Modern building control systems integrate the internet of things (IoT) for real-time monitoring
of the building's demand and manage the heating, ventilation, and air conditioning (HVAC) …
of the building's demand and manage the heating, ventilation, and air conditioning (HVAC) …