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Proposed approach to detect distributed denial of service attacks in software defined network using machine learning algorithms
2018
International Journal of Engineering & Technology
SDN (Software Defined Network) is rapidly gaining importance of 'programmable network' infrastructure. The SDN architecture separates the Data plane (forwarding devices) and Control plane (controller of the SDN). This makes it easy to deploy new versions to the infrastructure and provides straightforward network virtualization. Distributed Denial-of-Service attack is a major cyber security threat to the SDN. It is equally vulnerable to both data plane and control plane. In this paper, machine
doi:10.14419/ijet.v7i2.8.10488
fatcat:uzsmifn6rbbsnihksv4gqzuv3e