Network Based Intrusion Detection System Using Deep Learning

Network Based Intrusion Detection System Using Deep Learning

The aim of is to deploy a Network based IDS in real-time which uses tensorflow backend to detect malware traffic from live network stream.

Artificial Intelligence, Networking

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Description

Creating a huge dataset of malware traffic images and normal traffic images (.pcacp to .png) by splitting it with tcpflow to generate socket to socket connection and training a model using deep learning to improve the accuracy of the malware detection.

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