| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10332900 | Journal of Computer and System Sciences | 2013 | 13 Pages |
Abstract
⺠We proposed a novel unsupervised approach for network traffic classification. ⺠We introduced a bag-of-words model to represent the content of traffic clusters. ⺠We applied the latent semantic analysis to aggregate similar traffic clusters. ⺠For training, we combined flow statistical properties and IP packet payload. ⺠For testing, only flow statistical properties were used for classification.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Jun Zhang, Yang Xiang, Wanlei Zhou, Yu Wang,