Adaptive Network Flow Watermarking Detection Scheme Based on Joint Centroid Entropy
Received date: 2018-01-31
Online published: 2018-03-31
Considering the differences of watermarking in various types of complex network trafc, a new pre-grouping mechanism based on total packets number, average packets interval and bytes symmetry is designed. On this basis, an adaptive network flow watermarking detection scheme based on joint centroid entropy is proposed with the exploitation of the statistic variation of network trafc which is caused by interval-based flow watermarking. Experimental results on different types of trafc in anonymous communication system Tor show that the proposed method can achieve higher detection accuracy for random multi-key interval centroid based watermarking.
SHI Jin, LI Qian-kun, LIU Wei-wei, LIU Guang-jie, DAI Yue-wei . Adaptive Network Flow Watermarking Detection Scheme Based on Joint Centroid Entropy[J]. Journal of Applied Sciences, 2018 , 36(2) : 383 -392 . DOI: 10.3969/j.issn.0255-8297.2018.02.016
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