DDoS Detection and mitigation technique for cloud computing generated in a simulated / emulated environment.

I want a perfect project running in Mininet / Opnet, that shows DDoS attack with some attacking tools.

The model should consists of 100 nodes, where 35 are attacker PCs and rest are legitimate users. Legitimate users and attackers should be differentiated on the basis of their IP address / MAC address. A list of attackers should be generated. This list than should be used for mitigation of DDoS in future, by implementing a genetic algorithm. I wish to implement either Ant Colony algorithm or a Differential algorithm. Still implementing any genetic algorithm / machine learning algorithm other then the mentioned two is also okay! I want an original algorithmic set up in Cloud environment. Preferable coding is in JAVA and R studio programming is also acceptable.

Working model with testbed setup, with documentation about explaining the steps of implementation are mandatory submission with the working project code. I even expect a paper or material the model must have been thought of implementing with a comparative analysis about how the model prepared is better than the other model that is already implemented.

The above work in original is expected in 15 days.

Skills: C Programming, C++ Programming, CUDA, Java, Machine Learning

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