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Link to original content: https://doi.org/10.1007/978-3-030-00015-8_7
A Comprehensive Analysis of Interval Based Network Flow Watermarking | SpringerLink
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A Comprehensive Analysis of Interval Based Network Flow Watermarking

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Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11066))

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Abstract

As the main active traffic analysis method, network flow watermarking (NFW) has been proven effective for flow correlation in anonymous communication system or stepping stone detection. In various types of network flow watermarking schemes, the interval-based ones can achieve significant better capability of resisting network interference. However, there still exists no work to give a comprehensive analysis of them, specifically on practicability as the implementation of NFW in Internet still remains a great challenge. In this paper, the existing interval-based NFW schemes are comparatively analyzed by benchmarking their performance on robustness, invisibility and practicability. Different from some prior work, we pay special attention to the practicability evaluation, which is related to time and storage overhead, communication and computation overhead, and the statistical model demand. Experimental results on CAIDA dataset give an overview of the existing interval-based NFW schemes.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grants nos. 61602247, 61702235, 61472188, and U1636117), Natural Science Foundation of Jiangsu Province (Grants no. BK20160840 and BK20150472), CCF-VENUSTECH Foundation (Grant no. 2016011), and Fundamental Research Funds for the Central Universities (30920140121006 and 30915012208).

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Correspondence to Jin Shi .

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Shi, J. et al. (2018). A Comprehensive Analysis of Interval Based Network Flow Watermarking. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11066. Springer, Cham. https://doi.org/10.1007/978-3-030-00015-8_7

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  • DOI: https://doi.org/10.1007/978-3-030-00015-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00014-1

  • Online ISBN: 978-3-030-00015-8

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