Stacking ensemble approach for DDoS attack detection in software-defined cyber–physical systems

R Mall, K Abhishek, S Manimurugan, A Shankar… - Computers and …, 2023 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks are common and increasing in
frequency. It renders the service inaccessible to legitimate users and degrades network …

[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 …

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) …

GLD‐Net: Deep Learning to Detect DDoS Attack via Topological and Traffic Feature Fusion

W Guo, H Qiu, Z Liu, J Zhu… - Computational Intelligence …, 2022 - Wiley Online Library
Distributed denial of service (DDoS) attacks are the most common means of cyberattacks
against infrastructure, and detection is the first step in combating them. The current DDoS …

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 …

Designing ensemble deep learning intrusion detection system for DDoS attacks in software defined networks

U Mbasuva, GAL Zodi - 2022 16th International Conference on …, 2022 - ieeexplore.ieee.org
Software Defined Networks (SDN) is gaining popularity in academia and the industry. This is
due to SDNs ease of programmability, flexibility and centralized management. These …

DL-2P-DDoSADF: Deep learning-based two-phase DDoS attack detection framework

M Mittal, K Kumar, S Behal - Journal of Information Security and …, 2023 - Elsevier
In today's tech-driven world, while Internet-based applications drive social progress, their
architectural weaknesses, inadequate security measures, lack of network segmentation …

A multi-classifier for DDoS attacks using stacking ensemble deep neural network

MI Sayed, IM Sayem, S Saha… - … and Mobile Computing …, 2022 - ieeexplore.ieee.org
DDoS (Distributed Denial of Service) attacks have emerged as a serious menace to the
security and integrity of data and information systems. The primary aim of this attack is to …

Cyber-Secure SDN: A CNN-Based Approach for Efficient Detection and Mitigation of DDoS attacks

AA Najar, SM Naik - Computers & Security, 2024 - Elsevier
Abstract Software Defined Networking (SDN) has become popular due to its flexibility and
agility in network management, enabling rapid adaptation to changing business …

ADAM: an adaptive DDoS attack mitigation scheme in software-defined cyber-physical system

T Cai, T Jia, S Adepu, Y Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the widespread innovation of the Internet of Things, software-defined networking
(SDN), and cloud computing, cyber-physical systems (CPSs) have been developed and …