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Buyun Qu, Zhibin Zhang, Xingquan Zhu and Dan Meng An empirical study of morphing on behavior-based network traffic classification Security and Communication Networks 8

Article first published online: 21 MAR 2013 | DOI: 10.1002/sec.755

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This work investigates the impact of traffic morphing on actual classification performance from an empirical study point of view. The results show that different morphing strategies perform distinctively in degrading traffic identification, and classifiers with different mechanisms also exhibit distinct robustness to the morphings. The study also shows that classifiers can learn nontrivial information merely from the traffic direction patterns, which partially explains the weak protection of some morphing methods which fail to take the direction patterns into consideration.

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