STI: A self-evolutive traffic identification system for unknown applications based on improved random forest

Artificial intelligence technology has proven potential and effective in traffic identification for network management and security. However, the accuracy of its identification is easily influenced by the massive unknown traffic. Given the fact of numerous unknown applications in real networks and e...

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Bibliographic Details

Published in:	Computer communications Vol. 219; pp. 64 - 75
Main Authors:	Liang, Yulong, Wang, Fei, Chen, Shuhui, Chen, Beier, Bo, Yunjiao
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2024
Subjects:	Random forest Sample similarity Traffic identification Unknown applications Unsupervised algorithm Unknown applications Traffic identification Random forest Unsupervised algorithm Sample similarity
ISSN:	0140-3664
Online Access:	Get full text
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