A survey on network intrusion detection based on deep learning

X Jianping, L Chun, Z Jing, WEI Jinxia… - Frontiers of Data and …, 2021 - jfdc.cnic.cn
[Objective] The rapid development of the Internet has brought great convenience to people's
life. However, various malicious network attacks are also increasing, and cyberspace is …

A Review of Intrusion Detection Research Based on Deep Learning

M Deng, Y Kan, H Xu, C Sun - … of the 2nd International Conference on …, 2023 - dl.acm.org
In recent years, the network security situation has become critical. A key component of
network security is intrusion detection. With the continuous development of deep learning …

[PDF][PDF] Deep learning approaches for intrusion detection

AA Salih, SY Ameen, SR Zeebaree… - Asian Journal of …, 2021 - academia.edu
Recently, computer networks faced a big challenge, which is that various malicious attacks
are growing daily. Intrusion detection is one of the leading research problems in network …

[PDF][PDF] A Review of Intrusion Detection Technology Based on Deep Rein-forcement Learning

J Yu, R Zhou, Z Wang, Z Wang - Electronics Science …, 2021 - pdfs.semanticscholar.org
With the rapid development of modern science and technology, all kinds of network attacks
are updated constantly. Therefore, the traditional network security defense mechanism …

[PDF][PDF] A Review on Deep-Learning Based Network Intrusion Detection Systems

SS Jajoo, KA Kumar - International Journal of Electronics and …, 2021 - ijeie.jalaxy.com.tw
Network Security is an extremely arising field that secures frameworks, organizations, and
information from advanced attacks. With the evolution of the Internet and the development of …

Deep learning for network intrusion detection: Attack recognition with computational intelligence

P Wu - 2020 - unsworks.unsw.edu.au
With the fast-growing network scale, network intrusions are becoming more and more
frequent, volatile and advanced. The problem of how to capture the intrusions in such a …

[PDF][PDF] Deep learning for network intrusion detection

P Wu - Attack Recognition with Computational Intelligence …, 2020 - scholar.archive.org
With the fast-growing network scale, network intrusions are becoming more and more
frequent, volatile and advanced. The problem of how to capture the intrusions in such a …

[PDF][PDF] A review of intrusion detection datasets and techniques

S Patidar, P Parihar, C Agrawal - Smart Moves J Ijosci, 2020 - academia.edu
As network applications grow rapidly, network security mechanisms require more attention
to improve speed and accuracy. The evolving nature of new types of intrusion poses a …

Application Methods and Practices of Deep Learning in Network Intrusion Detection

S Wei, Z Zhang - Proceedings of the 2023 International Conference on …, 2023 - dl.acm.org
In the realm of cybersecurity, this study presents a novel approach to intrusion detection by
harnessing the power of artificial intelligence (AI) and machine learning (ML). We delve into …

[引用][C] A COMPARATIVE STUDY OF INTRUSION DETECTION SYSTEMS USING RNN AND DNN DEEP LEARNING MODELS

L Han, TMZ Murah - ftsm.ukm.my
Intrusion detection is an effective network security defense technology that identifies
intrusions mainly by collecting and analyzing network data. Most traditional intrusion …