Ddosnet: A deep-learning model for detecting network attacks

MS Elsayed, NA Le-Khac, S Dev… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an emerging paradigm, which evolved in recent
years to address the weaknesses in traditional networks. The significant feature of the SDN …

DDosTC: A transformer-based network attack detection hybrid mechanism in SDN

H Wang, W Li - Sensors, 2021 - mdpi.com
Software-defined networking (SDN) has emerged in recent years as a form of Internet
architecture. Its scalability, dynamics, and programmability simplify the traditional Internet …

A deep learning approach combining autoencoder with one-class SVM for DDoS attack detection in SDNs

L Mhamdi, D McLernon, F El-Moussa… - 2020 IEEE Eighth …, 2020 - ieeexplore.ieee.org
Software Defined Networking (SDN) provides us with the capability of collecting network
traffic information and managing networks proactively. Therefore, SDN facilitates the …

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 …

Deep learning-based slow DDoS attack detection in SDN-based networks

B Nugraha, RN Murthy - 2020 IEEE Conference on Network …, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is a promising networking paradigm that provides
outstanding manageability, scalability, controllability, and flexibility. Despite having such …

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) …

DDoS attacks detection and mitigation in SDN using machine learning

O Rahman, MAG Quraishi… - 2019 IEEE world congress …, 2019 - ieeexplore.ieee.org
Software Defined Networking (SDN) is very popular due to the benefits it provides such as
scalability, flexibility, monitoring, and ease of innovation. However, it needs to be properly …

Detection of DDoS attack on SDN control plane using hybrid machine learning techniques

V Deepa, KM Sudar… - … Conference on Smart …, 2018 - ieeexplore.ieee.org
Software Defined Network (SDN) provides a promising solution over traditional networks by
decoupling the control plane and network plane. With the help of this feature, controller can …

Deep neural network (DNN) solution for real-time detection of distributed denial of service (DDoS) attacks in software defined networks (SDNs)

A Makuvaza, DS Jat, AM Gamundani - SN Computer Science, 2021 - Springer
Abstract Software-Defined Network (SDN) has emerged as the new big thing in networking.
The separation of the control plane from the data plane and application plane gives SDN an …

Machine learning techniques to detect a DDoS attack in SDN: A systematic review

TE Ali, YW Chong, S Manickam - Applied Sciences, 2023 - mdpi.com
The recent advancements in security approaches have significantly increased the ability to
identify and mitigate any type of threat or attack in any network infrastructure, such as a …