Plausibilistic Entropy and Anonymity

Iulian Goriac
+

 
Department of Computer Science

"Al.I.Cuza" University
Iasi, Romania
iulian.goriac@info.uaic.ro

 

Abstract

A common approach behind measuring anonymity is that the larger the anonymity set is the higher the degree of anonymity it supports. Our approach builds upon this intuition proposing a very general and yet precise measure for security properties. Introduced in a paper accepted for ARES 2013 conference, plausibilistic entropy promises to offer an expressive and cost effective solution for quantifying anonymity. This article focuses on a detailed side-by-side comparison between plausibilistic entropy and Shannon entropy and underlines a promising level of compatibility between the two of them. Towards the end we present our vision on how to define a measure for anonymity based on plausibilistic entropy and how such a definition can be employed to serve practical purposes.

 

Keywords: plausibilistic entropy, knowledge, multi-agent systems, anonymity

 

+: Corresponding author: Iulian Goriac

Tel: +40-771-248-476

 

Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA),

Vol. 5, No. 1, pp. 64-83, March 2014 [pdf]