Introducing Perturb-ability Score (PS) to Enhance Robustness Against Evasion Adversarial Attacks on ML-NIDS
<|reference_start|>Introducing Perturb-ability Score (PS) to Enhance Robustness Against Evasion Adversarial Attacks on ML-NIDS: This paper proposes a novel Perturb-ability Score (PS) that can be used to identify Network Intrusion Detection Systems (NIDS) features that can be easily manipulated by attackers in the problem-space. We demonstrate that using PS to select only non-perturb-able features for ML-based NIDS maintains detection performance while enhancing robustness against adversarial attacks.<|reference_end|>
@article{elshehaby2024introducing,
    title={Introducing Perturb-ability Score (PS) to Enhance Robustness Against
  Evasion Adversarial Attacks on ML-NIDS},
    author={Mohamed elShehaby and Ashraf Matrawy},
    journal={arXiv preprint arXiv:2409.07448},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.07448},
    primaryClass={cs.CR cs.AI cs.LG}
}