Adversarial attacks can cause DNS amplification fool network defense systems machine learning study finds
25-Jul-22
The application of machine learning and deep learning in cybersecurity, particularly in network intrusion detection and prevention, has attracted increasing attention in recent years.
Researchers at the Citadel, a military academy in South Carolina, the US, found that adversarial attacks�specially produced data that tricks neural networks into changing their behavior�can be used to circumvent deep learning models trained for network intrusion detection. Read More…
