intrusion detection

Bringing a GAN to a Knife-fight: Adapting Malware Communication to Avoid Detection

Generative Adversarial Networks (GANs) have been successfully used in a large number of domains. This paper proposes the use of GANs for generating network traffic in order to mimic other types of traffic. In particular, our method modifies the …

Adversarial Deep Learning Against Intrusion Detection Classifiers

Traditional approaches in network intrusion detection follow a signature-based ap- proach, however the use of anomaly detection approaches based on machine learning techniques have been studied heavily for the past twenty years. The continuous change …