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pro vyhledávání: '"Shehaby, Mohamed el"'
Autor:
Shehaby, Mohamed el, Matrawy, Ashraf
Machine Learning (ML) has become ubiquitous, 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 of da
Externí odkaz:
http://arxiv.org/abs/2306.05494
Machine learning models have made many decision support systems to be faster, more accurate, and more efficient. However, applications of machine learning in network security face a more disproportionate threat of active adversarial attacks compared
Externí odkaz:
http://arxiv.org/abs/1911.02621