Authors:
R. Kavitha,N.Priya,DOI NO:
https://doi.org/10.26782/jmcms.spl.2019.08.00009Keywords:
SDN-Software Defined Networks,WAN,Abstract
The need for better security is always increasing in exponential demand with the elevation of the security concerns created by the vulnerable code and software being produced. A smart, self-healing and cognitive security network is the demand of the generation. With machine learning capabilities and advanced deep learning, we explore the possibility of architecting such a network build on a SDN network. Software Defined Networking replaces the conventional way of traditional networking with an application layer giving the programming capability to the networks thus increasing the flexibility of the network in terms of adaptability. Programming machine learning capability by introducing a learning element to the SDN network. We deploy security and classification algorithm to identify and classify traffic into potential attacks and intrusion. The results show improved accuracy that can detect all possible attacks over the neural network based on our pattern recognition algorithm for intrusion detection and recognition. The network can also self-optimize itself to defend itself real-time.Refference:
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