Semi-supervised learning based big data-driven anomaly detection in mobile wireless networks

B Hussain, Q Du, P Ren - China Communications, 2018 - ieeexplore.ieee.org
With rising capacity demand in mobile networks, the infrastructure is also becoming
increasingly denser and complex. This results in collection of larger amount of raw data (big …

Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset

BS Sharmila, R Nagapadma - Cybersecurity, 2023 - Springer
In recent years, many researchers focused on unsupervised learning for network anomaly
detection in edge devices to identify attacks. The deployment of the unsupervised …

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 …

A hybrid deep learning-based model for anomaly detection in cloud datacenter networks

S Garg, K Kaur, N Kumar, G Kaddoum… - … on Network and …, 2019 - ieeexplore.ieee.org
With the emergence of the Internet-of-Things (IoT) and seamless Internet connectivity, the
need to process streaming data on real-time basis has become essential. However, the …

Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network

J Wang, H Jin, J Chen, J Tan, K Zhong - Information Sciences, 2022 - Elsevier
IoMT technology has many advantages in healthcare system, such as optimizing the
medical service model, improving the efficiency of hospital operation and management, and …

Novel online network intrusion detection system for industrial IoT based on OI-SVDD and AS-ELM

E Gyamfi, AD Jurcut - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) should be equipped with computational resources to
detect network intrusions, types of attacks, and update their models automatically in real …

Network Anomaly Detection in 5G Networks.

A Rahman, M Mahmud, T Iqbal… - Mathematical …, 2022 - search.ebscohost.com
On the telecommunications front, 5G is the fifth-generation technology standard for
broadband cellular networks, which is a replacement for the 4G networks used by most …

Enhanced network anomaly detection based on deep neural networks

S Naseer, Y Saleem, S Khalid, MK Bashir, J Han… - IEEE …, 2018 - ieeexplore.ieee.org
Due to the monumental growth of Internet applications in the last decade, the need for
security of information network has increased manifolds. As a primary defense of network …

Detecting dos attack in smart home iot devices using a graph-based approach

R Paudel, T Muncy, W Eberle - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
The use of the Internet of Things (IoT) devices has surged in recent years. However, due to
the lack of substantial security, IoT devices are vulnerable to cyber-attacks like Denial-of …

A PCA-based method for IoT network traffic anomaly detection

DH Hoang, HD Nguyen - 2018 20th International conference …, 2018 - ieeexplore.ieee.org
Network operators need effective tools to quickly detect anomalies in traffic data for
identifying network attacks. In contrast to traditional Internet, anomaly detection in IoT …