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A Client-Side Evil-Twin Attack Detection System with Threshold Considering Traffic Load.

, , , , and . ICCE-Berlin, page 68-69. IEEE, (2023)

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Dynamic Inference From IoT Traffic Flows Under Concept Drifts in Residential ISP Networks., , , , , and . IEEE Internet Things J., 10 (17): 15761-15773 (September 2023)Anomaly Traffic Detection with Federated Learning toward Network-based Malware Detection in IoT., , , , , , and . GLOBECOM, page 299-304. IEEE, (2022)Improving Palmprint-Region Estimation for ID-Less Palmprint Recognition., , , , , , , , , and 1 other author(s). BWCCA, volume 570 of Lecture Notes in Networks and Systems, page 125-136. Springer, (2022)Self-adaptive Traffic Anomaly Detection System for IoT Smart Home Environments., , , , , , and . CoRR, (2024)Malware Detection for IoT Devices using Automatically Generated White List and Isolation Forest., , , and . IoTBDS, page 38-47. SCITEPRESS, (2021)Inferring Connected IoT Devices from IPFIX Records in Residential ISP Networks., , , , and . LCN, page 57-64. IEEE, (2021)Machine Learning based Malware Traffic Detection on IoT Devices using Summarized Packet Data., , , and . IoTBDS, page 78-87. SCITEPRESS, (2020)Quantifying and Managing Impacts of Concept Drifts on IoT Traffic Inference in Residential ISP Networks., , , , , and . CoRR, (2023)Identification of an IoT Device Model in the Home Domain Using IPFIX Records., , , and . COMPSAC, page 583-592. IEEE, (2022)Tradeoff between privacy protection and network resource in community associated network virtualization., , , and . PIMRC, page 2143-2148. IEEE, (2015)