Publication Details
On the role of contectual information for privacy attacks and classification
Matyáš Václav, prof. RNDr., M.Sc., Ph.D. (FI MUNI)
privacy, common criteria, FPD, formal model, graph, context, side channel
Many papers and articles attempt to define or even quantify privacy, typically with a major focus on anonymity. A related research exercise in the area of evidence-based trust models for ubiquitous computing environments has given us an impulse to take a closer look at the definition(s) of privacy in the Common Criteria, which we then transcribed in a more formal manner. This lead us to a further review of unlinkability, and revision of another semi-formal model allowing for expression of anonymity and unlinkability -- the Freiburg Privacy Diamond. We propose new means of describing (obviously only observable) characteristics of a system to reflect the role of contexts for profiling -- and linking -- users with actions in a system. We believe this approach should allow for evaluating privacy in large data sets.
@INPROCEEDINGS{FITPUB7566,
author = "Daniel Cvr\v{c}ek and V\'{a}clav Maty\'{a}\v{s}",
title = "On the role of contectual information for privacy attacks and classification",
pages = "31--39",
booktitle = "Workshop on Privacy and Security Aspects of Data Mining",
year = 2004,
location = "Brighton, GB",
language = "english",
url = "https://www.fit.vut.cz/research/publication/7566"
}