Abstract

Collecting network traffic traces from deployed networks is one of the basic steps in understanding communication networks. Traffic traces are used for network management, traffic engineering, packet classification, and analyzing user behavior to ensure adequate quality of service. Monitored traffic traces should be anonymized for privacy and security reasons. The goal of anonymization is to preserve trace properties while enforcing privacy policies. Various tools and techniques have been implemented for trace anonymization. In this paper, we propose and implement an anonymization tool that executes multilevel anonymization and displays analysis results. We describe architecture and features of the tool and discuss analysis of un-anonymized and anonymized datasets.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/cybconf.2013.6617434
https://dblp.uni-trier.de/db/conf/cybconf/cybconf2013.html#FarahT13,
http://www.ensc.sfu.ca/~ljilja/cnl/presentations/ljilja/cybconf2013/cybconf2013_slides_final.pdf,
https://academic.microsoft.com/#/detail/2023044001
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Document information

Published on 01/01/2013

Volume 2013, 2013
DOI: 10.1109/cybconf.2013.6617434
Licence: CC BY-NC-SA license

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