Towards a hierarchical deep learning approach for intrusion detection

F Alin, A Chemchem, F Nolot, O Flauzac… - Machine Learning for …, 2020 - Springer
Nowadays, it is almost impossible to imagine our daily life without Internet. This strong
dependence requires an effective and rigorous consideration of all the risks related to …

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 hybrid intrusion detection approach based on deep learning techniques

DF Rueda, JC Caviedes, WYC Muñoz - … , Big Data and IoT: Proceedings of …, 2022 - Springer
Intrusion detection systems (IDS) are designed to protect the networks from computer
attacks. Through the constant monitoring of the network traffic, it is possible to identify …

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 …

A novel two-stage deep learning model for efficient network intrusion detection

FA Khan, A Gumaei, A Derhab, A Hussain - Ieee Access, 2019 - ieeexplore.ieee.org
The network intrusion detection system is an important tool for protecting computer networks
against threats and malicious attacks. Many techniques have recently been proposed; …

[HTML][HTML] Deep learning for network intrusion: A hierarchical approach to reduce false alarms

SJ Moore, F Cruciani, CD Nugent, S Zhang… - Intelligent Systems with …, 2023 - Elsevier
Computer networks form much of the infrastructure supporting day-to-day life in this digital
age. Computer networks, however, are prone to attack and therefore require intrusion …

[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 …

Network intrusion detection: Taxonomy and machine learning applications

A Nazir, RA Khan - Machine intelligence and big data analytics for …, 2021 - Springer
Abstract Information and Communication Technologies (ICT) has revolutionized our lives
and transform it into a knowledge centric world. Where information is available just under …

Machine learning approach for network intrusion detection systems

S Sharma, N Chamoli - An Interdisciplinary Approach to Modern …, 2022 - taylorfrancis.com
We are living in the tumultuous 21st Century, in the era known as the era of digitalization.
Digitalization is a process which is happening at an unprecedented fast pace, and will …

Performance evaluation of some machine learning algorithms for security intrusion detection

O Elaeraj, C Leghris, É Renault - … , MLN 2020, Paris, France, November 24 …, 2021 - Springer
The growth of the Internet and the opening of systems have led to an increasing number of
attacks on computer networks. Security vulnerabilities are increasing, in the design of …