[HTML][HTML] A detailed study of resampling algorithms for cyberattack classification in engineering applications

ÓM Gutiérrez, JCS Núñez, M Ávila, A Caro - PeerJ Computer Science, 2024 - peerj.com
The evolution of engineering applications is highly relevant in the context of protecting
industrial systems. As industries are increasingly interconnected, the need for robust …

[HTML][HTML] Evaluating Ensemble Learning Mechanisms for Predicting Advanced Cyber Attacks

F Alserhani, A Aljared - Applied Sciences, 2023 - mdpi.com
With the increased sophistication of cyber-attacks, there is a greater demand for effective
network intrusion detection systems (NIDS) to protect against various threats. Traditional …

[HTML][HTML] Performance comparison and current challenges of using machine learning techniques in cybersecurity

K Shaukat, S Luo, V Varadharajan, IA Hameed, S Chen… - Energies, 2020 - mdpi.com
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …

An efficient machine learning based multiclass cyber attacks classification and prediction

T Ullah, EG Hussnain, W Ahmad… - The …, 2023 - journals.qurtuba.edu.pk
Security breach involves an attempt to attack a machine for data theft and compromising
network resources to retrieve unauthorized information, network infrastructure, etc. The …

Hybrid Cyber-Attack Detection Model on Cyber-Physical Systems Using Machine Learning Techniques

Q Gulzar, K Mustafa - International Conference on Data Analytics & …, 2023 - Springer
Physical objects and infrastructure can now be connected to the web and to one another
using cyber-physical systems, which incorporate sensing, computation, control, and …

Machine learning for automatic assignment of the severity of cybersecurity events

N DeCastro‐García… - Computational and …, 2020 - Wiley Online Library
The detection, treatment, and prediction of cybersecurity events is a priority research area for
the security response centers. In this scenario, the automation of several processes is …

A novel ensemble learning system for cyberattack classification

Ó Mogollón Gutiérrez, JC Sancho Núñez… - 2023 - dehesa.unex.es
Nowadays, IT systems rely mainly on artificial intelligence (AI) algorithms to process data. AI
is generally used to extract knowledge from stored information and, depending on the nature …

Machine Learning Models for Cyberattack Detection in Industrial Control Systems

D Arnold, J Ford, J Saniie - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Industrial Control Systems (ICS) provide a network environment for operator command and
control of cyber-physical systems and devices. As such, these systems are common …

Intelligent detection system for multi-step cyber-attack based on machine learning

KMA Alheeti, A Alzahrani, OH Jasim… - … on Developments in …, 2023 - ieeexplore.ieee.org
Cyber-attacks involve stifling processes and activities, conciliating data, or restricting data
access by carefully modifying computer systems and networks with malware. There has …

Cyber Security Using Machine Learning Approaches: A Systematic Review

MKN Kumar, PE Kumar - The Fusion of Artificial Intelligence and Soft … - taylorfrancis.com
Machine learning in cyber security has recently made headlines. With the widespread
increase of population, the need for reliable mechanism to prevent cyberattacks has …