DeepGuard: Efficient anomaly detection in SDN with fine-grained traffic flow monitoring
Software-Defined Networking (SDN) leverages the implementation of reliable, flexible and
efficient network security mechanisms which make use of novel techniques such as artificial …
efficient network security mechanisms which make use of novel techniques such as artificial …
Software-defined-networking-enabled traffic anomaly detection and mitigation
Traffic anomaly detection has been a principal direction in the network security field, which
aims to identify attacks based on significant deviations from the established normal usage …
aims to identify attacks based on significant deviations from the established normal usage …
Deep learning based anomaly detection scheme in software-defined networking
Y Qin, J Wei, W Yang - 2019 20th Asia-Pacific Network …, 2019 - ieeexplore.ieee.org
Software Defined Networking (SDN) has attracted more and more attention due to its
prominent features that are different from the traditional network. SDN is programmable …
prominent features that are different from the traditional network. SDN is programmable …
ATLANTIC: A framework for anomaly traffic detection, classification, and mitigation in SDN
AS Da Silva, JA Wickboldt, LZ Granville… - NOMS 2016-2016 …, 2016 - ieeexplore.ieee.org
Anomaly traffic detection and classification mechanisms need to be flexible and easy to
manage in order to detect the ever growing spectrum of anomalies. Detection and …
manage in order to detect the ever growing spectrum of anomalies. Detection and …
SGS: Safe-guard scheme for protecting control plane against DDoS attacks in software-defined networking
Y Wang, T Hu, G Tang, J Xie, J Lu - IEEE Access, 2019 - ieeexplore.ieee.org
Software-defined networking (SDN) achieves flexible and efficient network management by
decoupling control plane from the data plane, where the controller with a global network …
decoupling control plane from the data plane, where the controller with a global network …
An ecosystem for anomaly detection and mitigation in software-defined networking
Along with the rapid growth of computer networks comes the need for automating
management functions to prevent errors in decision-making and reduce the cost of ordinary …
management functions to prevent errors in decision-making and reduce the cost of ordinary …
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 …
Real-time malicious traffic detection with online isolation forest over sd-wan
P Zhang, F He, H Zhang, J Hu, X Huang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Software Defined Network (SDN) has been widely used in modern network architecture. The
SD-WAN is considered as a technology that has a potential to revolutionize the WAN service …
SD-WAN is considered as a technology that has a potential to revolutionize the WAN service …
Traffic flow monitoring in software-defined network using modified recursive learning
The recursive network design used in this paper to monitor traffic flow ensures accurate
anomaly identification. The suggested method enhances the effectiveness of cyber attacks …
anomaly identification. The suggested method enhances the effectiveness of cyber attacks …
A survey and classification of the security anomaly detection mechanisms in software defined networks
Software defined network (SDN) decouples the network control and data planes. Despite
various advantages of SDNs, they are vulnerable to various security attacks such anomalies …
various advantages of SDNs, they are vulnerable to various security attacks such anomalies …