A parallel algorithm for network traffic anomaly detection based on Isolation Forest

With the rapid development of large-scale complex networks and proliferation of various social network applications, the amount of network traffic data generated is increasing tremendously, and efficient anomaly detection on those massive network traffic data is crucial to many network applications,...

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Bibliographic Details

Published in:	International journal of distributed sensor networks Vol. 14; no. 11; p. 155014771881447
Main Authors:	Tao, Xiaoling, Peng, Yang, Zhao, Feng, Zhao, Peichao, Wang, Yong
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 01.11.2018 Wiley
Subjects:	anomaly detection Spark Isolation Forest parallelization Network traffic
ISSN:	1550-1477, 1550-1477
Online Access:	Get full text
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