A systematic literature review of intrusion detection system for network security: Research trends, datasets and methods

R Ferdiana - … 4th International Conference on Informatics and …, 2020 - ieeexplore.ieee.org
Study on intrusion detection system (IDS) mostly allow network administrators to focus on
development activities in terms of network security and making better use of resource. Many …

A novel multi-module integrated intrusion detection system for high-dimensional imbalanced data

J Cui, L Zong, J Xie, M Tang - Applied Intelligence, 2023 - Springer
The high dimension, complexity, and imbalance of network data are hot issues in the field of
intrusion detection. Nowadays, intrusion detection systems face some challenges in …

A stacking ensemble for network intrusion detection using heterogeneous datasets

S Rajagopal, PP Kundapur… - Security and …, 2020 - Wiley Online Library
The problem of network intrusion detection poses innumerable challenges to the research
community, industry, and commercial sectors. Moreover, the persistent attacks occurring on …

A novel combinatorial optimization based feature selection method for network intrusion detection

A Nazir, RA Khan - Computers & Security, 2021 - Elsevier
The advancements in communication technologies and ubiquitous accessibility to a wide
array of services has opened many challenges. Growing numbers of cyberattacks show that …

A comprehensive review on detection of cyber-attacks: Data sets, methods, challenges, and future research directions

H Ahmetoglu, R Das - Internet of Things, 2022 - Elsevier
Rapid developments in network technologies and the amount and scope of data transferred
on networks are increasing day by day. Depending on this situation, the density and …

An advanced intrusion detection system for IIoT based on GA and tree based algorithms

SM Kasongo - IEEE Access, 2021 - ieeexplore.ieee.org
The evolution of the Internet and cloud-based technologies have empowered several
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …

A deep learning method with filter based feature engineering for wireless intrusion detection system

SM Kasongo, Y Sun - IEEE access, 2019 - ieeexplore.ieee.org
In recent years, the increased use of wireless networks for the transmission of large volumes
of information has generated a myriad of security threats and privacy concerns; …

[HTML][HTML] IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic

F Ullah, S Ullah, G Srivastava, JCW Lin - Digital Communications and …, 2024 - Elsevier
A network intrusion detection system is critical for cyber security against illegitimate attacks.
In terms of feature perspectives, network traffic may include a variety of elements such as …

Cyber threat detection based on artificial neural networks using event profiles

J Lee, J Kim, I Kim, K Han - Ieee Access, 2019 - ieeexplore.ieee.org
One of the major challenges in cybersecurity is the provision of an automated and effective
cyber-threats detection technique. In this paper, we present an AI technique for cyber-threats …

A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine

L Lv, W Wang, Z Zhang, X Liu - Knowledge-based systems, 2020 - Elsevier
Intrusion detection is a challenging technology in the area of cyberspace security for
protecting a system from malicious attacks. A novel accurate and effective misuse intrusion …