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    Unsupervised intrusion detection model based on temporal convolutional network by LIAO Jinju, DING Jiawei, FENG Guanghui

    Published 2025-01-01
    “…Moreover, UDMT was capable of detecting both known and zero-day attacks without relying on labeled attack data. In addition, UDMT can adopt different privacy layer modes, and the configuration was flexible to meet the requirements of different detection rates and detection delays. …”
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