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This project has purpose training an DQN Agent to recognize malware traffic.

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lucadivit/DQN_Malware_and_Legitimate_Trainer

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Malware_Pcaps

Malware_Pcaps

 
 

Normal_Pcaps

Normal_Pcaps

 
 

gym_DRLMal

gym_DRLMal

 
 

Agent.py

Agent.py

 
 

AttackerCalc.py

AttackerCalc.py

 
 

CSV.py

CSV.py

 
 

FeaturesCalc.py

FeaturesCalc.py

 
 

LegitimateDownloader.py

LegitimateDownloader.py

 
 

MTADownloader.py

MTADownloader.py

 
 

Main.py

Main.py

 
 

NeuralNetwork.py

NeuralNetwork.py

 
 

PacketFilter.py

PacketFilter.py

 
 

README.md

README.md

 
 

StartTrainingHandler.py

StartTrainingHandler.py

 
 

setup.py

setup.py

 
 

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DQN_Malware_and_Legitimate_Trainer

I Will write this README soon. At now you have to know that you must put in respective folder, malware pcap and legitimate (normal traffic) pcap. In Main file you can set the number of iteration training and the window size of packets that form one sample of feature file.

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This project has purpose training an DQN Agent to recognize malware traffic.

Topics

machine-learning reinforcement-learning deep-learning neural-network malware keras deep-reinforcement-learning feature-extraction dqn malware-analysis malware-detection keras-rl deep-q-learning-network

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