Intrusion detection system using machine learning techniques: A review

US Musa, M Chhabra, A Ali… - … international conference on …, 2020 - ieeexplore.ieee.org
The rapid growth in the use of computer networks results in the issues of maintaining the
network availability, integrity, and confidentiality. This necessitates the network …

[HTML][HTML] DCNNBiLSTM: An efficient hybrid deep learning-based intrusion detection system

V Hnamte, J Hussain - Telematics and Informatics Reports, 2023 - Elsevier
In recent years, all real-world processes have been shifted to the cyber environment
practically, and computers communicate with one another over the Internet. As a result, there …

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 …

Machine learning and deep learning methods for intrusion detection systems: A survey

H Liu, B Lang - applied sciences, 2019 - mdpi.com
Networks play important roles in modern life, and cyber security has become a vital research
area. An intrusion detection system (IDS) which is an important cyber security technique …

Machine learning classifiers for network intrusion detection system: comparative study

O Almomani, MA Almaiah, A Alsaaidah… - 2021 International …, 2021 - ieeexplore.ieee.org
Network security risks are increasing at an exponential rate as Internet technology
advances. Keeping the network protected is one of the most challenging of network security …

HDLNIDS: hybrid deep-learning-based network intrusion detection system

EUH Qazi, MH Faheem, T Zia - Applied Sciences, 2023 - mdpi.com
Attacks on networks are currently the most pressing issue confronting modern society.
Network risks affect all networks, from small to large. An intrusion detection system must be …

A comprehensive intrusion detection framework using boosting algorithms

IF Kilincer, F Ertam, A Sengur - Computers and Electrical Engineering, 2022 - Elsevier
Abstract Intrusion Detection Systems are one of the most effective technologies that protect
systems against cyber-attacks. In this study, a new Comprehensive Cyber Security Intrusion …

IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism

FE Laghrissi, S Douzi, K Douzi, B Hssina - Journal of Big Data, 2021 - Springer
Network attacks are illegal activities on digital resources within an organizational network
with the express intention of compromising systems. A cyber attack can be directed by …

[PDF][PDF] Deep-intrusion detection system with enhanced UNSW-NB15 dataset based on deep learning techniques

A Aleesa, M Younis, AA Mohammed… - Journal of Engineering …, 2021 - jestec.taylors.edu.my
Growth in the number of devices and data has raised serious security concerns, that have
increased the importance of the development of advanced intrusion detection systems (IDS) …

Network based intrusion detection using the UNSW-NB15 dataset

S Meftah, T Rachidi, N Assem - International Journal of …, 2019 - journal.uob.edu.bh
In this work, we apply a two stage anomaly-based network intrusion detection process using
the UNSW-NB15 dataset. We use Recursive Feature Elimination and Random Forests …