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 …

Evaluation of machine learning techniques for security in SDN

A Ahmad, E Harjula, M Ylianttila… - 2020 IEEE Globecom …, 2020 - ieeexplore.ieee.org
Software Defined Networking (SDN) has emerged as the most viable programmable
network architecture to solve many challenges in legacy networks. SDN separates the …

Lightweight and host-based denial of service (DoS) detection and defense mechanism for resource-constrained IoT devices

JJ Kponyo, JO Agyemang, GS Klogo, JO Boateng - Internet of Things, 2020 - Elsevier
Abstract The Internet of Things (IoT) is an intelligent network that connects smart objects to
the Internet. A large number of IoT devices are connecting to the Internet, yet many of these …

Comparative analysis of K-nearest neighbor and decision tree in detecting distributed denial of service

I Ramadhan, P Sukarno… - 2020 8th international …, 2020 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks are attacks made by several attackers by
flooding the victim's device with a packet. The ease of making DDoS attacks has led to an …

RYU SDN controller testbed for performance testing of source address validation techniques

RC Meena, M Bundele, M Nawal - 2020 3rd international …, 2020 - ieeexplore.ieee.org
SDN is a newly emerged network technology and its advantages are rapidly increasing its
usages in enterprise networks. Normally, data packets in networks are forwarded based on …

Evaluation of machine learning techniques for intrusion detection in software defined networking

A Ahmad - 2020 - oulurepo.oulu.fi
The widespread growth of the Internet paved the way for the need of a new network
architecture which was filled by Software Defined Networking (SDN). SDN separated the …

A Robust Intrusion Detection System using Ensemble Machine Learning

S Divakar, R Priyadarshini… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
In today's world there is a rising need for network attack analysis because of rising cyber
threats and attacks worldwide. Network traffic, if monitored dynamically in real-time could …