Machine learning in network anomaly detection: A survey

S Wang, JF Balarezo, S Kandeepan… - IEEE …, 2021 - ieeexplore.ieee.org
Anomalies could be the threats to the network that have ever/never happened. To protect
networks against malicious access is always challenging even though it has been studied …

[图书][B] Network anomaly detection: A machine learning perspective

DK Bhattacharyya, JK Kalita - 2013 - books.google.com
With the rapid rise in the ubiquity and sophistication of Internet technology and the
accompanying growth in the number of network attacks, network intrusion detection has …

Network anomaly detection with temporal convolutional network and U-Net model

A Mezina, R Burget, CM Travieso-González - IEEE Access, 2021 - ieeexplore.ieee.org
Anomaly detection in network traffic is one of the key techniques to ensure security in future
networks. Today, the importance of this topic is even higher, since the network traffic is …

A comprehensive survey on network anomaly detection

G Fernandes, JJPC Rodrigues, LF Carvalho… - Telecommunication …, 2019 - Springer
Nowadays, there is a huge and growing concern about security in information and
communication technology among the scientific community because any attack or anomaly …

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 …

Network anomaly detection: methods, systems and tools

MH Bhuyan, DK Bhattacharyya… - … surveys & tutorials, 2013 - ieeexplore.ieee.org
Network anomaly detection is an important and dynamic research area. Many network
intrusion detection methods and systems (NIDS) have been proposed in the literature. In this …

HELAD: A novel network anomaly detection model based on heterogeneous ensemble learning

Y Zhong, W Chen, Z Wang, Y Chen, K Wang, Y Li… - Computer Networks, 2020 - Elsevier
Network traffic anomaly detection is an important technique of ensuring network security.
However, there are usually three problems with existing machine learning based anomaly …

Two-tier network anomaly detection model: a machine learning approach

HH Pajouh, GH Dastghaibyfard, S Hashemi - Journal of Intelligent …, 2017 - Springer
Network anomaly detection is one of the most challenging fields in cyber security. Most of
the proposed techniques have high computation complexity or based on heuristic …

MLTs-ADCNs: Machine learning techniques for anomaly detection in communication networks

HW Oleiwi, DN Mhawi, H Al-Raweshidy - IEEE Access, 2022 - ieeexplore.ieee.org
From a security perspective, the research of the jeopardized 6G wireless communications
and its expected ultra-densified ubiquitous wireless networks urge the development of a …

The role of machine learning in network anomaly detection for cybersecurity

A Yaseen - Sage Science Review of Applied Machine …, 2023 - journals.sagescience.org
This research introduces a theoretical framework for network anomaly detection in
cybersecurity, emphasizing the integration of adaptive machine learning models, ensemble …