Machine learning approach equipped with neighbourhood component analysis for DDoS attack detection in software-defined networking
The Software-Defined Network (SDN) is a new network paradigm that promises more
dynamic and efficiently manageable network architecture for new-generation networks. With …
dynamic and efficiently manageable network architecture for new-generation networks. With …
Automated DDOS attack detection in software defined networking
Abstract Software-Defined Networking (SDN) is a networking paradigm that has redefined
the term network by making the network devices programmable. SDN helps network …
the term network by making the network devices programmable. SDN helps network …
An evolutionary SVM model for DDOS attack detection in software defined networks
Software-Defined Network (SDN) has become a promising network architecture in current
days that provide network operators more control over the network infrastructure. The …
days that provide network operators more control over the network infrastructure. The …
Detecting DDoS attacks in software-defined networks through feature selection methods and machine learning models
Software Defined Networking (SDN) offers several advantages such as manageability,
scaling, and improved performance. However, SDN involves specific security problems …
scaling, and improved performance. However, SDN involves specific security problems …
DDoS attack detection with feature engineering and machine learning: the framework and performance evaluation
M Aamir, SMA Zaidi - International Journal of Information Security, 2019 - Springer
This paper applies an organized flow of feature engineering and machine learning to detect
distributed denial-of-service (DDoS) attacks. Feature engineering has a focus to obtain the …
distributed denial-of-service (DDoS) attacks. Feature engineering has a focus to obtain the …
[PDF][PDF] DDoS Detection in SDN using Machine Learning Techniques.
Software-defined network (SDN) becomes a new revolutionary paradigm in networks
because it provides more control and network operation over a network infrastructure. The …
because it provides more control and network operation over a network infrastructure. The …
Design of ensemble learning methods for DDoS detection in SDN environment
Software Defined Network (SDN) is a new approach to build architecture of computer
networks that is dynamic, adaptable, manageable and low cost. The SDN paradigm offers …
networks that is dynamic, adaptable, manageable and low cost. The SDN paradigm offers …
A DDoS attack detection and countermeasure scheme based on DWT and auto-encoder neural network for SDN
Abstract Software Defined Networking provides new functionalities to easily manage,
configure, and optimize network resources by introducing a clear separation between the …
configure, and optimize network resources by introducing a clear separation between the …
Detection and analysis of TCP-SYN DDoS attack in software-defined networking
Software-defined networking (SDN) is an advanced networking technology that yields
flexibility with cost-efficiency as per the business requirements. SDN breaks the vertical …
flexibility with cost-efficiency as per the business requirements. SDN breaks the vertical …
A generalized machine learning model for DDoS attacks detection using hybrid feature selection and hyperparameter tuning
In the digital era, the usage of network-connected devices is rapidly growing which leads to
an increase in cyberattacks. Among them, Distributed Denial of Service (DDoS) attacks are …
an increase in cyberattacks. Among them, Distributed Denial of Service (DDoS) attacks are …