Predicted packet padding for anonymous web browsing against traffic analysis attacks Yu, Shui, Zhao, Guofeng, Dou, Wanchun and James, Simon 2012, Predicted packet padding for anonymous web browsing against traffic analysis attacks, IEEE transactions on information forensics and security, vol. 7, no. 4, pp. 1381-1393, doi: 10.1109/TIFS.2012.2197392. Attached Files Name Description MIMEType Size Downloads Title Predicted packet padding for anonymous web browsing against traffic analysis attacks Author(s) Yu, Shui orcid.org/0000-0003-4485-6743 Zhao, Guofeng Dou, Wanchun James, Simon orcid.org/0000-0003-1150-0628 Journal name IEEE transactions on information forensics and security Volume number 7 Issue number 4 Start page 1381 End page 1393 Total pages 13 Publisher IEEE Place of publication Piscataway, N. J. Publication date 2012-08 ISSN 1556-6013 1556-6021 Keyword(s) anonymity predicted packet padding web browsing Summary Anonymous communication has become a hot research topic in order to meet the increasing demand for web privacy protection. However, there are few such systems which can provide high level anonymity for web browsing. The reason is the current dominant dummy packet padding method for anonymization against traffic analysis attacks. This method inherits huge delay and bandwidth waste, which inhibits its use for web browsing. In this paper, we propose a predicted packet padding strategy to replace the dummy packet padding method for anonymous web browsing systems. The proposed strategy mitigates delay and bandwidth waste significantly on average. We formulated the traffic analysis attack and defense problem, and defined a metric, cost coefficient of anonymization (CCA), to measure the performance of anonymization. We thoroughly analyzed the problem with the characteristics of web browsing and concluded that the proposed strategy is better than the current dummy packet padding strategy in theory. We have conducted extensive experiments on two real world data sets, and the results confirmed the advantage of the proposed method. Language eng DOI 10.1109/TIFS.2012.2197392 Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2012, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30047011 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 13 Aug 2012, 12:59:58 EST Mon, 03 Sep 2012, 15:31:45 EST Mon, 03 Sep 2012, 15:33:30 EST Fri, 13 Jun 2014, 14:45:05 EST Wed, 27 Aug 2014, 23:05:38 EST Fri, 06 Feb 2015, 10:59:30 EST Filtered Full Citation counts:   Cited 19 times in TR Web of Science Cited 24 times in Scopus Search Google Scholar Access Statistics: 802 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Mon, 13 Aug 2012, 12:59:58 EST