theamachine / Network-status-detection-based-on-deep-learning-parameters-effect-in-training-process

Coding trials to see the effect of parameters' changes on the training process in deep learning

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Coding trials to see the effect of parameters' changes on the training process in deep learning.

Problem Definition:

Predict the type of the traffic to the network whether it is normal traffic or one of the five possible attacks (predict the type of the attack) through multi-layer perceptron.

Different types of attacks:

TCP-SYN Flood attacks.

Port scan attacks.

Flow Table Overflow attacks.

Blackhole attacks.

Traffic Diversion attacks.

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Coding trials to see the effect of parameters' changes on the training process in deep learning

License:MIT License


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