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 …

Network intrusion detection based on deep learning

W Peng, X Kong, G Peng, X Li… - … , Information System and …, 2019 - ieeexplore.ieee.org
With the continuous development of computer network technology, security problems in the
network are emerging one after another, and it is becoming more and more difficult to …

A novel network intrusion detection system based on CNN

L Chen, X Kuang, A Xu, S Suo… - 2020 eighth international …, 2020 - ieeexplore.ieee.org
Network intrusion detection system (NIDS) plays an important role in network security. It can
detect the malicious traffic and prevent the network intrusion. Traditional methods used …

Using deep learning techniques for network intrusion detection

S Al-Emadi, A Al-Mohannadi… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
In recent years, there has been a significant increase in network intrusion attacks which
raises a great concern from the privacy and security aspects. Due to the advancement of the …

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 …

Deep learning methods in network intrusion detection: A survey and an objective comparison

S Gamage, J Samarabandu - Journal of Network and Computer …, 2020 - Elsevier
The use of deep learning models for the network intrusion detection task has been an active
area of research in cybersecurity. Although several excellent surveys cover the growing …

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 …

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 …

[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 …