Agnostic CH-DT technique for SCADA network high-dimensional data-aware intrusion detection system

LAC Ahakonye, CI Nwakanma… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The pervasiveness in the Industrial Internet of Things (IIoT) due to the application of
supervisory control and data acquisition (SCADA) has led to the growth of heterogeneous …

A novel network intrusion detection method based on metaheuristic optimisation algorithms

R Ghanbarzadeh, A Hosseinalipour… - Journal of ambient …, 2023 - Springer
The growing use of the Internet with its vulnerabilities has necessitated the adoption of
Intrusion Detection Systems (IDS) to assure security. IDSs are protective systems that detect …

Robust enhancement of intrusion detection systems using deep reinforcement learning and stochastic game

H Benaddi, K Ibrahimi, A Benslimane… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The incorporation of advanced networking technologies makes modern systems vulnerable
to cyber-attacks that can result in a number of harmful outcomes. Due to the increase of …

Efficient classification of enciphered SCADA network traffic in smart factory using decision tree algorithm

LAC Ahakonye, CI Nwakanma, JM Lee, DS Kim - IEEE Access, 2021 - ieeexplore.ieee.org
Vulnerability detection in Supervisory Control and Data Acquisition (SCADA) network of a
Smart Factory (SF) is a high-priority research area in the cyber-security domain. Choosing …

Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study

M Catillo, A Del Vecchio, A Pecchia, U Villano - Software Quality Journal, 2022 - Springer
Intrusion detection is a primary concern in any modern computer system due to the ever-
growing number of intrusions. Machine learning represents an effective solution to detect …

On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples

Y Zhang, Q Liu - Future Generation Computer Systems, 2022 - Elsevier
Internet of things (IoT) security is a prerequisite for the rapid development of the IoT to
enhance human well-being. Machine learning-based intrusion detection systems (IDS) have …

IDERES: Intrusion detection and response system using machine learning and attack graphs

JR Rose, M Swann, KP Grammatikakis, I Koufos… - Journal of Systems …, 2022 - Elsevier
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …

Representation learning-based network intrusion detection system by capturing explicit and implicit feature interactions

W Wang, S Jian, Y Tan, Q Wu, C Huang - Computers & Security, 2022 - Elsevier
Network intrusion detection system is an important cyber defence tool to protect a system
from illegal attacks. Building an effective network intrusion detection system that makes good …

A hybrid intrusion detection system based on feature selection and weighted stacking classifier

R Zhao, Y Mu, L Zou, X Wen - IEEE Access, 2022 - ieeexplore.ieee.org
Cyber-attacks occur more frequently with the rapid growth in the Internet. Intrusion detection
systems (IDS) have become an important part of protecting system security. There are still …

Ensemble model based on hybrid deep learning for intrusion detection in smart grid networks

U AlHaddad, A Basuhail, M Khemakhem, FE Eassa… - Sensors, 2023 - mdpi.com
The Smart Grid aims to enhance the electric grid's reliability, safety, and efficiency by
utilizing digital information and control technologies. Real-time analysis and state estimation …