ملف الباحث
Mohamed el Shehaby
ورقة واحدة في مجموعة PaperMetrix
المنشورات
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Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones
2023 · arXiv (Cornell University)
Machine Learning (ML) has become pervasive, and its deployment in Network Intrusion Detection Systems (NIDS) is inevitable due to its automated nature and high accuracy compared to traditional models in processing and classifying large volumes …