A graph neural network method for distributed anomaly detection in IoT
A Protogerou, S Papadopoulos, A Drosou, D Tzovaras… - Evolving Systems, 2021 - Springer
Recent IoT proliferation has undeniably affected the way organizational activities and
business procedures take place within several IoT domains such as smart manufacturing …
business procedures take place within several IoT domains such as smart manufacturing …
Graph neural networks for anomaly detection in industrial Internet of Things
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …
collection, storage, processing, and communication. The adoption of the IoT has brought …
[PDF][PDF] Attack and anomaly detection in iot networks using machine learning techniques: A review
SH Haji, SY Ameen - Asian J. Res. Comput. Sci, 2021 - researchgate.net
ABSTRACT The Internet of Things (IoT) is one of today's most rapidly growing technologies.
It is a technology that allows billions of smart devices or objects known as" Things" to collect …
It is a technology that allows billions of smart devices or objects known as" Things" to collect …
Hierarchical machine learning for IoT anomaly detection in SDN
P Amangele, MJ Reed, M Al-Naday… - 2019 International …, 2019 - ieeexplore.ieee.org
The Internet of Things is a fast emerging technology, however, there have been a significant
number of security challenges that have hindered its adoption. This work explores the use of …
number of security challenges that have hindered its adoption. This work explores the use of …
Full graph autoencoder for one-class group anomaly detection of IIoT system
Y Feng, J Chen, Z Liu, H Lv… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the increasing automation and integration of equipment, it is urgent to carry out
anomaly detection (AD) for the large-scale system to ensure security, in virtue of Industrial …
anomaly detection (AD) for the large-scale system to ensure security, in virtue of Industrial …
Deep learning-enabled anomaly detection for IoT systems
Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …
industries and government services. Unfortunately, IoT devices and networks are known to …
Robust attack detection approach for IIoT using ensemble classifier
Generally, the risks associated with malicious threats are increasing for the IIoT and its
related applications due to dependency on the Internet and the minimal resource availability …
related applications due to dependency on the Internet and the minimal resource availability …
Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks
Internet of things or in short IoT is a network of interconnected entities such as computing
devices, mechanical machines, digital gadgets etc. Cloud based IoT infrastructures are …
devices, mechanical machines, digital gadgets etc. Cloud based IoT infrastructures are …
[HTML][HTML] Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness
Abstract The Internet of Things (IoT) is a key enabler in closing the loop in Cyber-Physical
Systems, providing “smartness” and thus additional value to each monitored/controlled …
Systems, providing “smartness” and thus additional value to each monitored/controlled …