Multi-Level Deep Neural Network for Distributed Denial-of-Service Attack Detection and Classification in Software-Defined Networking Supported Internet of Things …

YA Abid, J Wu, G Xu, S Fu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the increasing rates of interconnected Internet of Things (IoT) devices within Software-
Defined Networking (SDN) environments, distributed denial of service (DDoS) attacks have …

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) …

Towards an Efficient DDoS Attack Detection in SDN: An Approach with CNN-GRU Fusion

KS Goud, GS Rao - 2024 Fourth International Conference on …, 2024 - ieeexplore.ieee.org
The emergence of Distributed Denial of Service (DDoS) attacks presents a significant risk to
Software-Defined Networking (SDN) services. This study focuses on developing an effective …

A deep CNN-based framework for distributed denial of services (DDoS) attack detection in internet of things (IoT)

BB Gupta, A Gaurav, V Arya, P Kim - Proceedings of the 2023 …, 2023 - dl.acm.org
As the number of connected devices continues to rise, protecting those networks against
DDoS attacks is more important than ever. Due to IoT devices' specific features and limited …

A deep CNN ensemble framework for efficient DDoS attack detection in software defined networks

S Haider, A Akhunzada, I Mustafa, TB Patel… - Ieee …, 2020 - ieeexplore.ieee.org
As novel technologies continue to reshape the digital era, cyberattacks are also increasingly
becoming more commonplace and sophisticated. Distributed denial of service (DDoS) …

[HTML][HTML] Deep learning in distributed denial-of-service attacks detection method for Internet of Things networks

FM Aswad, AMS Ahmed, NAM Alhammadi… - Journal of Intelligent …, 2023 - degruyter.com
With the rapid growth of informatics systems' technology in this modern age, the Internet of
Things (IoT) has become more valuable and vital to everyday life in many ways. IoT …

DDoS Detection in SDN using Deep Learning

Z Fatehi, A Montazerolghaem - 2024 8th International …, 2024 - ieeexplore.ieee.org
In this paper, we present a deep learning approach for the detection of Distributed Denial of
Service (DDoS) attacks within Software-Defined Networking (SDN) environments. The …

[HTML][HTML] Adaptive machine learning based distributed denial-of-services attacks detection and mitigation system for SDN-enabled IoT

M Aslam, D Ye, A Tariq, M Asad, M Hanif, D Ndzi… - Sensors, 2022 - mdpi.com
The development of smart network infrastructure of the Internet of Things (IoT) faces the
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …

Distributed Denial of Service Attack Detection in IoT Networks using Deep Learning and Feature Fusion: A Review

A Nuhu, AFM Raffei, MF Ab Razak… - Mesopotamian Journal …, 2024 - mesopotamian.press
The explosive growth of Internet of Things (IoT) devices has led to escalating threats from
distributed denial of service (DDoS) attacks. Moreover, the scale and heterogeneity of IoT …

Lightweight detection system for low-rate DDoS attack on software-defined-IoT

A Droos, QA Al-Haija… - 6th Smart Cities …, 2022 - ieeexplore.ieee.org
Low-rate Distributed Denial-of-Service (LR-DDoS) attack is an uninterrupted cybersecurity
challenge within a Software-Defined Internet of Things (SD-IoT) network. If successful, LR …