[PDF][PDF] An intrusion detection system for sdn using machine learning
Software Defined Networking (SDN) has emerged as a promising and exciting option for the
future growth of the internet. SDN has increased the flexibility and transparency of the …
future growth of the internet. SDN has increased the flexibility and transparency of the …
Designing a network intrusion detection system based on machine learning for software defined networks
AO Alzahrani, MJF Alenazi - Future Internet, 2021 - mdpi.com
Software-defined Networking (SDN) has recently developed and been put forward as a
promising and encouraging solution for future internet architecture. Managed, the …
promising and encouraging solution for future internet architecture. Managed, the …
ML‐IDSDN: Machine learning based intrusion detection system for software‐defined network
AO Alzahrani, MJF Alenazi - Concurrency and Computation …, 2023 - Wiley Online Library
Software‐defined networking (SDN) has been developed to separate network control plane
from forwarding plane which can decrease operational costs and the time it takes to deploy …
from forwarding plane which can decrease operational costs and the time it takes to deploy …
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 …
[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 …
A survey on intrusion detection system for software defined networks (SDN)
Presently, the advances of the internet towards a wide-spread growth and the static nature of
traditional networks has limited capacity to cope with organizational business needs. The …
traditional networks has limited capacity to cope with organizational business needs. The …
[HTML][HTML] Network intrusion detection in software defined networking with self-organized constraint-based intelligent learning framework
With the advent of internet and communication system, a huge number of opportunities have
been presented to humans, however, its vision will not be easy and comfortable. Instead the …
been presented to humans, however, its vision will not be easy and comfortable. Instead the …
New hybrid method for attack detection using combination of evolutionary algorithms, SVM, and ANN
S Hosseini, BMH Zade - Computer Networks, 2020 - Elsevier
Intrusion detection systems (IDS) have been playing an important role for providing security
of computer networks. They detect different types of attacks and malicious software usage …
of computer networks. They detect different types of attacks and malicious software usage …
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 …
Decision tree based intrusion detection system for NSL-KDD dataset
Abstract In this paper, Decision Tree (DT) based IDS is proposed for NSL-KDD dataset. The
proposed work uses Correlation Feature Selection (CFS) subset evaluation method for …
proposed work uses Correlation Feature Selection (CFS) subset evaluation method for …