Ensemble classifiers for network intrusion detection using a novel network attack dataset

A Mahfouz, A Abuhussein, D Venugopal, S Shiva - Future Internet, 2020 - mdpi.com
Due to the extensive use of computer networks, new risks have arisen, and improving the
speed and accuracy of security mechanisms has become a critical need. Although new …

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 …

On-line anomaly detection with high accuracy

K Xie, X Li, X Wang, J Cao, G Xie, J Wen… - … ACM transactions on …, 2018 - ieeexplore.ieee.org
Traffic anomaly detection is critical for advanced Internet management. Existing detection
algorithms generally convert the high-dimensional data to a long vector, which compromises …

Distributed-graph-based statistical approach for intrusion detection in cyber-physical systems

H Sadreazami, A Mohammadi, A Asif… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Cyber-physical systems have recently emerged in several practical engineering applications
where security and privacy are of paramount importance. This motivated the paper and a …

Multi-agent-based unsupervised detection of energy consumption anomalies on smart campus

Y Weng, N Zhang, C Xia - IEEE Access, 2018 - ieeexplore.ieee.org
The smart campus is becoming a reality with the advancement of information and
communication technologies. For energy efficiency, it is essential to detect abnormal energy …

Generative Adversarial Networks for Anomaly Detection: A Systematic Literature Review

S Noor, SU Bazai, MI Ghafoor, S Marjan… - 2023 4th …, 2023 - ieeexplore.ieee.org
In numerous research areas, anomaly identification is a major problem. Identifying and
properly classifying data as anomalous is a challenging task that is resolved in various …

Gated recurrent unit-based parallel network traffic anomaly detection using subagging ensembles

X Tao, Y Peng, F Zhao, C Yang, B Qiang, Y Wang… - Ad Hoc Networks, 2021 - Elsevier
Recently, wireless network evolution has been primarily driven by a need for higher rates.
The ongoing deployment of 5G cellular systems is continuously exposing the inherent …

Developing an intelligent filtering technique for bring your own device network access control

MA Muhammad, A Ayesh, PB Zadeh - proceedings of the international …, 2017 - dl.acm.org
With the rapid increase in smartphones and tablets, Bring Your Own Devices (BYOD) has
simplified computing by introducing the use of personally owned devices. These devices …

A semi-supervised model for network traffic anomaly detection

NH Duong, HD Hai - 2015 17th International Conference on …, 2015 - ieeexplore.ieee.org
Network traffic anomaly detection can help to early detect network attacks because hacker's
activities may result in unusual changes of network traffic, that are significant fluctuations …

Detecting anomalous network traffic in IoT networks

DH Hoang, HD Nguyen - 2019 21st international conference …, 2019 - ieeexplore.ieee.org
Network operators need effective tools to quickly detect anomalies in traffic data for
identifying network attacks. In contrast to traditional Internet, detection of anomalous network …