Adversarial Traffic Modifications for the Network Intrusion Detection Domain: A Practical Adversarial Network Traffic Crafting Approach

Adversarial attacks pose a risk to machine learning (ML)-based network intrusion detection systems (NIDS). In this manner, it is of great significance to explore to what degree these methods can be viably utilized by potential adversaries. The majority of adversarial techniques are designed for unconstrained domains such as the image recognition...