A multi-model proposal for classification and detection of DDoS attacks on SCADA systems
Industrial automation and control systems have gained increasing attention in the literature
recently. Their integration with various systems has triggered considerable developments in …
recently. Their integration with various systems has triggered considerable developments in …
A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks
Abstract Supervisory Control and Data Acquisition (SCADA) systems supervise and monitor
critical infrastructures and industrial processes. However, SCADA systems running on …
critical infrastructures and industrial processes. However, SCADA systems running on …
[PDF][PDF] Ensemble Deep Learning Models for Mitigating DDoS Attack in Software-Defined Network.
F Alanazi, K Jambi, F Eassa, M Khemakhem… - … Automation & Soft …, 2022 - academia.edu
Software-defined network (SDN) is an enabling technology that meets the demand of
dynamic, adaptable, and manageable networking architecture for the future. In contrast to …
dynamic, adaptable, and manageable networking architecture for the future. In contrast to …
DDoS attack detection and classification using hybrid model for multicontroller SDN
TG Gebremeskel, KA Gemeda… - Wireless …, 2023 - Wiley Online Library
A software‐defined network (SDN) brings a lot of advantages to the world of networking
through flexibility and centralized management; however, this centralized control makes it …
through flexibility and centralized management; however, this centralized control makes it …
A SCADA testbed for investigating cyber security vulnerabilities in critical infrastructures
A Tesfahun, DL Bhaskari - Automatic Control and Computer Sciences, 2016 - Springer
Abstract Supervisory Control and Data Acquisition (SCADA) systems are widely used in
critical infrastructures such as water distribution networks, electricity generation and …
critical infrastructures such as water distribution networks, electricity generation and …
Ensemble learning framework for DDoS detection in SDN-based SCADA systems
Supervisory Control and Data Acquisition (SCADA) systems play a crucial role in overseeing
and controlling renewable energy sources like solar, wind, hydro, and geothermal …
and controlling renewable energy sources like solar, wind, hydro, and geothermal …
Stacking ensemble approach for DDoS attack detection in software-defined cyber–physical systems
Abstract Distributed Denial of Service (DDoS) attacks are common and increasing in
frequency. It renders the service inaccessible to legitimate users and degrades network …
frequency. It renders the service inaccessible to legitimate users and degrades network …
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) …
targeting conventional and new generation networks, such as the Internet of Things (IoT) …
Comparative study of AI-enabled DDoS detection technologies in SDN
Software-defined networking (SDN) is becoming the standard for the management of
networks due to its scalability and flexibility to program the network. SDN provides many …
networks due to its scalability and flexibility to program the network. SDN provides many …
DDoS attack detection and mitigation in SDN using machine learning
F Khashab, J Moubarak, A Feghali… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
Software Defined Networking (SDN) is a networking paradigm that has been very popular
due to its advantages over traditional networks with regard to scalability, flexibility, and its …
due to its advantages over traditional networks with regard to scalability, flexibility, and its …