A Proposed Method for Detecting Network Intrusion Using Deep Learning Approach

RM Almejarb, OM Sallabi, FF Bushaala… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
NIDSs, known as network intrusion detection systems, are essential for protecting computer
networks. Nonetheless, there are concerns about the sustainability and viability of current …

A Dynamic Intrusion Detection System Capable of Detecting Unknown Attacks

N Xing, S Zhao, Y Wang, K Ning… - International Journal of …, 2023 - search.proquest.com
In recent years, deep learning-based network intrusion detection systems (IDS) have shown
impressive results in detecting attacks. However, most existing IDS can only recognize …

An effective deep learning based scheme for network intrusion detection

H Zhang, CQ Wu, S Gao, Z Wang… - 2018 24th International …, 2018 - ieeexplore.ieee.org
Intrusion detection systems (IDS) play an important role in the protection of network
operations and services. In this paper, we propose an effective network intrusion detection …

[PDF][PDF] Review on Generative Deep Learning Models and Datasets for Intrusion Detection Systems.

G Ketepalli, P Bulla - Revue d'Intelligence Artificielle, 2020 - academia.edu
Accepted: 28 February 2020 Intrusion detection systems (IDSs) play an essential role in
defense of all networks and information systems around the world. IDS is one way of …

A transfer learning with deep neural network approach for network intrusion detection

M Masum, H Shahriar - International journal of intellligent computing …, 2021 - par.nsf.gov
Traditional Network Intrusion Detection Systems (NIDS) encounter difficulties due to the
exponential growth of network traffic data and modern attacks' requirements. This paper …

Deep learning in intrusion detection systems

G Karatas, O Demir… - … international congress on …, 2018 - ieeexplore.ieee.org
In recent years, due to the emergence of boundless communication paradigm and increased
number of networked digital devices, there is a growing concern about cybersecurity which …

A bidirectional LSTM deep learning approach for intrusion detection

Y Imrana, Y Xiang, L Ali, Z Abdul-Rauf - Expert Systems with Applications, 2021 - Elsevier
The rise in computer networks and internet attacks has become alarming for most service
providers. It has triggered the need for the development and implementation of intrusion …

Ensemble classification for intrusion detection via feature extraction based on deep Learning

M Yousefnezhad, J Hamidzadeh, M Aliannejadi - Soft Computing, 2021 - Springer
An intrusion detection system is a security system that aims to detect sabotage and
intrusions on networks to inform experts of the attack and abuse of the network. Different …

An intrusion detection approach for small-sized networks

PC Nguyen, VT Ho, DH Duong, TT Nguyen… - … : Proceedings of ICICIT …, 2022 - Springer
In any network system, the intrusion is undesirable, and organizations are constantly
searching for solutions that could effectively detect intrusion and, consequently, help them to …

Network intrusion detection using machine learning

PK Prajapati, I Singh, N Subhashini - Futuristic Communication and …, 2023 - Springer
With the rapid growth in the use of computer networks, the issues of maintaining a network
also increase. Moreover the attackers keep changing their tools and techniques. With this …