A review of recent approaches on wrapper feature selection for intrusion detection

J Maldonado, MC Riff, B Neveu - Expert Systems with Applications, 2022 - Elsevier
In this paper, we present a review of recent advances in wrapper feature selection
techniques for attack detection and classification, applied in intrusion detection area. Due to …

[HTML][HTML] A review of the use of artificial intelligence methods in infrastructure systems

L McMillan, L Varga - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …

A flow-based anomaly detection approach with feature selection method against ddos attacks in sdns

MS El Sayed, NA Le-Khac, MA Azer… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Software Defined Networking (SDN) is an emerging network platform, which facilitates
centralised network management. The SDN enables the network operators to manage the …

InSDN: A novel SDN intrusion dataset

MS Elsayed, NA Le-Khac, AD Jurcut - IEEE access, 2020 - ieeexplore.ieee.org
Software-Defined Network (SDN) has been developed to reduce network complexity
through control and manage the whole network from a centralized location. Today, SDN is …

SDN-based architecture for transport and application layer DDoS attack detection by using machine and deep learning

NM Yungaicela-Naula, C Vargas-Rosales… - Ieee …, 2021 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks represent the most common and critical attacks
targeting conventional and new generation networks, such as the Internet of Things (IoT) …

Ensemble-learning framework for intrusion detection to enhance internet of things' devices security

Y Alotaibi, M Ilyas - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …

Applications of artificial intelligence algorithms in the energy sector

H Szczepaniuk, EK Szczepaniuk - Energies, 2022 - mdpi.com
The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent
energy management, and distributed energy integration poses new requirements for …

A comprehensive survey of load balancing techniques in software-defined network

M Hamdan, E Hassan, A Abdelaziz, A Elhigazi… - Journal of Network and …, 2021 - Elsevier
A software-defined network (SDN) separates the network control plane from the data
forwarding plane. SDN has shown significant benefits in many ways compared to …

[HTML][HTML] Real-time DDoS attack detection system using big data approach

MJ Awan, U Farooq, HMA Babar, A Yasin, H Nobanee… - Sustainability, 2021 - mdpi.com
Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …

A systematic literature review on machine learning and deep learning approaches for detecting DDoS attacks in software-defined networking

AA Bahashwan, M Anbar, S Manickam, TA Al-Amiedy… - Sensors, 2023 - mdpi.com
Software-defined networking (SDN) is a revolutionary innovation in network technology with
many desirable features, including flexibility and manageability. Despite those advantages …