TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack

Understand

Network intrusion attacks are a known threat.

• To detect such attacks, network intrusion detection systems (NIDSs) have been developed and deployed.
• These systems apply machine learning models to high-dimensional vectors of features extracted from network traffic to detect intrusions.
• Advances in NIDSs have made it challenging for attackers, who must execute attacks without being detected by these systems.