Zhang, Jun, Chen, Chao, Xiang, Yang, Zhou, Wanlei, and Xiang, Yong (2013) Internet traffic classification by aggregating correlated naive Bayes predictions. IEEE Transactions on Information Forensics and Security, 8 (1). pp. 5-15.

PDF (Published Version) - Published Version Restricted to Repository staff only

Abstract

This paper presents a novel traffic classification scheme to improve classification performance when few training data are available. In the proposed scheme, traffic flows are described using the discretized statistical features and flow correlation information is modeled by bag-of-flow (BoF). We solve the BoF-based traffic classification in a classifier combination framework and theoretically analyze the performance benefit. Furthermore, a new BoF-based traffic classification method is proposed to aggregate the naive Bayes (NB) predictions of the correlated flows. We also present an analysis on prediction error sensitivity of the aggregation strategies. Finally, a large number of experiments are carried out on two large-scale real-world traffic datasets to evaluate the proposed scheme. The experimental results show that the proposed scheme can achieve much better classification performance than existing state-of-the-art traffic classification methods.

Item ID:	64410
Item Type:	Article (Research - C1)
ISSN:	1556-6021
Copyright Information:	(C) IEEE
Date Deposited:	08 Dec 2020 23:55
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software > 080303 Computer System Security @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified @ 100%
	More Statistics