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 self-adaptive deep learning-based system for anomaly detection in 5G networks
The upcoming fifth-generation (5G) mobile technology, which includes advanced
communication features, is posing new challenges on cybersecurity defense systems …
communication features, is posing new challenges on cybersecurity defense systems …
Anomaly detection using deep neural network for IoT architecture
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …
popularity over the last decade, resulting in an exponential growth in the IoT networks …
Trustworthy network anomaly detection based on an adaptive learning rate and momentum in IIoT
While the industrial Internet of Things (IIoT) brings convenience to the industry, it also brings
security problems. Due to the massive amount of data generated by the surge of IIoT …
security problems. Due to the massive amount of data generated by the surge of IIoT …
Multi-task network anomaly detection using federated learning
Because of the complexity of network traffic, there are various significant challenges in the
network anomaly detection fields. One of the major challenges is the lack of labeled training …
network anomaly detection fields. One of the major challenges is the lack of labeled training …
Anomaly detection in network traffic using unsupervised machine learning approach
A Vikram - 2020 5th International Conference on …, 2020 - ieeexplore.ieee.org
The advent of IoT technology and the increase in wireless networking devices has led to an
enormous increase in network attacks from different sources. To maintain networks as safe …
enormous increase in network attacks from different sources. To maintain networks as safe …
Network anomaly detection using memory-augmented deep autoencoder
B Min, J Yoo, S Kim, D Shin, D Shin - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, attacks on network environments continue to rapidly advance and are
increasingly intelligent. Accordingly, it is evident that there are limitations in existing …
increasingly intelligent. Accordingly, it is evident that there are limitations in existing …
Generative adversarial network and auto encoder based anomaly detection in distributed IoT networks
T Zixu, KSK Liyanage… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
With the advances in modern communication technologies, the application scale of Internet
of Things (IoT) has evolved at an unprecedented level, which on the other hand poses …
of Things (IoT) has evolved at an unprecedented level, which on the other hand poses …
Anomaly detection based on convolutional recurrent autoencoder for IoT time series
C Yin, S Zhang, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) realizes the interconnection of heterogeneous devices by the
technology of wireless and mobile communication. The data of target regions are collected …
technology of wireless and mobile communication. The data of target regions are collected …