Machine Learning and CyberSecurity in Software Defined Networks
The flexibility of Software Defined Networks has resulted in increasing growth and adaptation. However recently alarming hacking vulnerabilities have been revealed. The project will involve applying machine learning to replicate how topology poisoning can be used for eavesdropping and how to detect the fake links introduced into the network by the attacker.

It should be mandatory that you understand computer science.” – will.i.am”