Website Fingerprinting and Identification Using Ordered Feature Sequences-Reference-Cited by-同舟云学术

Website Fingerprinting and Identification Using Ordered Feature Sequences

Published:2010 Issue: Volume: Page:199-214
ISSN:0302-9743
Container-title:Computer Security – ESORICS 2010
language:
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Author:

Lu Liming,Chang Ee-Chien,Chan Mun Choon

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-15497-3_13

Reference19 articles.

1. Wright, C.V., Coull, S.E., Monrose, F.: Traffic morphing: An Efficient Defense against Statistical Traffic Analysis. In: 16th NDSS (2009)

2. Liberatore, M., Levine, B.N.: Inferring the Source of Encrypted HTTP connections. In: 13th ACM CCS, pp. 255–263 (2006)

3. Lecture Notes in Computer Science;A. Hintz,2003

4. Sun, Q., Simon, D.R., Wang, Y.M., Russell, W., Padmanabhan, V.N., Qiu, L.: Statistical Identification of Encrypted Web Browsing Traffic. In: IEEE S&P 2002, pp. 19–30 (2002)

5. Song, D.X., Wagner, D., Tian, X.: Timing Analysis of Keystrokes and Timing Attacks on SSH. In: 10th USENIX Security Symposium (2001)

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