Realism versus Performance for Adversarial Examples Against DL-based NIDS
(2023)
Presentation / Conference Contribution
Alatwi, H. A., & Morisset, C. (2023, March). Realism versus Performance for Adversarial Examples Against DL-based NIDS. Presented at SAC '23: 38th ACM/SIGAPP Symposium on Applied Computing, Tallinn Estonia
The application of deep learning-based (DL) network intrusion detection systems (NIDS) enables effective automated detection of cyberattacks. Such models can extract valuable features from high-dimensional and heterogeneous network traffic with minim... Read More about Realism versus Performance for Adversarial Examples Against DL-based NIDS.