2L-ZED-IDS: A Two-Level Anomaly Detector for Multiple Attack Classes. Catillo, M., Rak, M., & Villano, U. In Barolli, L., Amato, F., Moscato, F., Enokido, T., & Takizawa, M., editors, Web, Artificial Intelligence and Network Applications, WAINA2020, of Advances in Intelligent Systems and Computing, pages 687–696, 2020. Springer International Publishing.
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