MetaCluster: A Universal Interpretable Classification Framework for Cybersecurity
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DOI: 10.1109/tifs.2024.3372808
Abstract: Rising cyber threats have created an immediate demand for Deep Learning (DL) in cybersecurity. Nevertheless, the opaque nature of DL models poses challenges in deploying, collaborating, and assessing their effectiveness in less reliable cybersecurity environments.… read more here.
Keywords: classification; metacluster; interpretable classification; classification framework ... See more keywords