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Quantifying and measuring anonymity

Murdoch, SJ; (2014) Quantifying and measuring anonymity. In: Garcia-Alfaro, J and Lioudakis, G and Cuppens-Boulahia, N and Foley, S and Fitzgerald, WM, (eds.) Data Privacy Management and Autonomous Spontaneous Security: 8th International Workshop, DPM 2013, and 6th International Workshop, SETOP 2013, Egham, UK, September 12-13, 2013, Revised Selected Papers. (pp. 3 - 13). Springer Berlin Heidelberg: Berlin, Germany. Green open access

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Abstract

The design of anonymous communication systems is a relatively new field, but the desire to quantify the security these systems offer has been an important topic of research since its beginning. In recent years, anonymous communication systems have evolved from obscure tools used by specialists to mass-market software used by millions of people. In many cases the users of these tools are depending on the anonymity offered to protect their liberty, or more. As such, it is of critical importance that not only can we quantify the anonymity these tools offer, but that the metrics used represent realistic expectations, can be communicated clearly, and the implementations actually offer the anonymity they promise. This paper will discuss how metrics, and the techniques used to measure them, have been developed for anonymous communication tools including low-latency networks and high-latency email systems. © 2014 Springer-Verlag Berlin Heidelberg.

Type: Proceedings paper
Title: Quantifying and measuring anonymity
Event: 8th International Workshop, DPM 2013, and 6th International Workshop, SETOP 2013
ISBN-13: 9783642545672
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-642-54568-9_1
Publisher version: http://dx.doi.org/10.1007/978-3-642-54568-9_1
Language: English
Additional information: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-54568-9_1.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1450480
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