A network intrusion detection method based on deep multi-scale convolutional neural network

X Wang, S Yin, H Li, J Wang, L Teng - International Journal of Wireless …, 2020 - Springer
Network intrusion detection (NID) is an important method for network system administrators
to detect various security holes. The performance of traditional NID methods can be affected …

[PDF][PDF] A convolutional neural network for network intrusion detection system

L Mohammadpour, TC Ling, CS Liew… - Proceedings of the Asia …, 2018 - core.ac.uk
Network Intrusion Detection Systems (NIDS) to find potential security breaches. However,
security attacks tend to be unpredictable. There are many challenges to develop a flexible …

Network intrusion detection algorithm based on deep neural network

Y Jia, M Wang, Y Wang - IET Information Security, 2019 - Wiley Online Library
With the rapid development of network technology, active defending of the network intrusion
is more important than before. In order to improve the intelligence and accuracy of network …

CNID: research of network intrusion detection based on convolutional neural network

G Liu, J Zhang - Discrete Dynamics in Nature and Society, 2020 - Wiley Online Library
Network intrusion detection system can effectively detect network attack behaviour, which is
very important to network security. In this paper, a multiclassification network intrusion …

An improved convolutional neural network model for intrusion detection in networks

RU Khan, X Zhang, M Alazab… - 2019 Cybersecurity and …, 2019 - ieeexplore.ieee.org
Network intrusion detection is an important component of network security. Currently, the
popular detection technology used the traditional machine learning algorithms to train the …

A network intrusion detection method based on deep learning with higher accuracy

Y Zhang, Y Zhang, N Zhang, M Xiao - Procedia Computer Science, 2020 - Elsevier
The traditional network intrusion detection methods have the problem of long distance
dependency. It is easy to ignore contextual information. Moreover, the current data …

Network intrusion detection combined hybrid sampling with deep hierarchical network

K Jiang, W Wang, A Wang, H Wu - IEEE access, 2020 - ieeexplore.ieee.org
Intrusion detection system (IDS) plays an important role in network security by discovering
and preventing malicious activities. Due to the complex and time-varying network …

A network intrusion detection system based on convolutional neural network

H Wang, Z Cao, B Hong - Journal of Intelligent & Fuzzy …, 2020 - content.iospress.com
Intrusion detection systems (IDSs) play an important point in resisting hacker intrusion. With
the rapid development of the network technology, network security has received more and …

CNN-LSTM: hybrid deep neural network for network intrusion detection system

A Halbouni, TS Gunawan, MH Habaebi… - IEEE …, 2022 - ieeexplore.ieee.org
Network security becomes indispensable to our daily interactions and networks. As attackers
continue to develop new types of attacks and the size of networks continues to grow, the …

[HTML][HTML] A one-dimensional convolutional neural network (1D-CNN) based deep learning system for network intrusion detection

EUH Qazi, A Almorjan, T Zia - Applied Sciences, 2022 - mdpi.com
The connectivity of devices through the internet plays a remarkable role in our daily lives.
Many network-based applications are utilized in different domains, eg, health care, smart …