A hybrid CNN-LSTM based approach for anomaly detection systems in SDNs
M Abdallah, N An Le Khac, H Jahromi… - Proceedings of the 16th …, 2021 - dl.acm.org
Software-Defined Networking (SDN) is a promising technology for the future Internet.
However, the SDN paradigm introduces new attack vectors that do not exist in the …
However, the SDN paradigm introduces new attack vectors that do not exist in the …
[HTML][HTML] A novel hybrid model for intrusion detection systems in SDNs based on CNN and a new regularization technique
MS ElSayed, NA Le-Khac, MA Albahar… - Journal of Network and …, 2021 - Elsevier
Software-defined networking (SDN) is a new networking paradigm that separates the
controller from the network devices ie routers and switches. The centralized architecture of …
controller from the network devices ie routers and switches. The centralized architecture of …
The role of CNN for intrusion detection systems: An improved CNN learning approach for SDNs
MS Elsayed, HZ Jahromi, MM Nazir… - … Conference on Future …, 2021 - Springer
An intrusion detection system (IDS) is an essential component of computer networks to
detect and secure the system and environment from malicious activities and anomalous …
detect and secure the system and environment from malicious activities and anomalous …
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 …
through control and manage the whole network from a centralized location. Today, SDN is …
CNN-BiLSTM: A Hybrid Deep Learning Approach for Network Intrusion Detection System in Software Defined Networking with Hybrid Feature Selection.
A Software-Defined Network (SDN) was designed to simplify network management by
allowing the control and management of the entire network from a single place. SDN is …
allowing the control and management of the entire network from a single place. SDN is …
Griffin: Real-time network intrusion detection system via ensemble of autoencoder in SDN
Many efforts have been devoted to the development of efficient Network Intrusion Detection
System (NIDS) using machine learning approaches in Software-defined Network (SDN) …
System (NIDS) using machine learning approaches in Software-defined Network (SDN) …
DeepIDS: Deep learning approach for intrusion detection in software defined networking
Software Defined Networking (SDN) is developing as a new solution for the development
and innovation of the Internet. SDN is expected to be the ideal future for the Internet, since it …
and innovation of the Internet. SDN is expected to be the ideal future for the Internet, since it …
A novel approach to network intrusion detection system using deep learning for Sdn: Futuristic approach
MR Hadi, AS Mohammed - arXiv preprint arXiv:2208.02094, 2022 - arxiv.org
Software-Defined Networking (SDN) is the next generation to change the architecture of
traditional networks. SDN is one of the promising solutions to change the architecture of …
traditional networks. SDN is one of the promising solutions to change the architecture of …
Towards an efficient anomaly‐based intrusion detection for software‐defined networks
M Latah, L Toker - IET networks, 2018 - Wiley Online Library
Software‐defined networking (SDN) is a new paradigm that allows developing more flexible
network applications. A SDN controller, which represents a centralised controlling point, is …
network applications. A SDN controller, which represents a centralised controlling point, is …
Intrusion detection in sdn-based networks: Deep recurrent neural network approach
Abstract Software Defined Networking (SDN) is emerging as a key technology for future
Internet. SDN provides a global network along with the capability to dynamically control …
Internet. SDN provides a global network along with the capability to dynamically control …