Network Intrusion Detection in an Adversarial setting

May 5, 2019 Information Security

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nids

A study on fooling Machine Learning/Deep Learning based Network Intrusion Detection systems to prevent them from detecting intrusions. We implement various adversarial machine learning attacks on network traffic data and analyze their effect on the accuracy of the model in detecting intrusions.

nids deep learing machine learning neural networks information security adversarial machine learning

Network Intrusion Detection in an Adversarial setting

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