Encrypted Traffic Identification by Fusing Softmax Classifier with Its Angular Margin Variant
نویسندگان
چکیده
منابع مشابه
Realtime Encrypted Traffic Identification using Machine Learning
Accurate network traffic identification plays important roles in many areas such as traffic engineering, QoS and intrusion detection etc. The emergence of many new encrypted applications which use dynamic port numbers and masquerading techniques causes the most challenging problem in network traffic identification field. One of the challenging issues for existing traffic identification methods ...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2021
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2020edl8130