Publication result detail

On the role of contectual information for privacy attacks and classification

CVRČEK, D.; MATYÁŠ, V.

Original Title

On the role of contectual information for privacy attacks and classification

English Title

On the role of contectual information for privacy attacks and classification

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

Many papers and articles attempt to define or even quantify privacy,typically with a major focus on anonymity. A related research exercisein the area of evidence-based trust models for ubiquitous computingenvironments has given us an impulse to take a closer look at thedefinition(s) of privacy in the Common Criteria, which we thentranscribed in a more formal manner. This lead us to a further reviewof unlinkability, and revision of another semi-formal model allowingfor expression of anonymity and unlinkability -- the Freiburg PrivacyDiamond. We propose new means of describing (obviously only observable)characteristics of a system to reflect the role of contexts forprofiling -- and linking -- users with actions in a system. We believethis approach should allow for evaluating privacy in large data sets.

English abstract

Many papers and articles attempt to define or even quantify privacy,typically with a major focus on anonymity. A related research exercisein the area of evidence-based trust models for ubiquitous computingenvironments has given us an impulse to take a closer look at thedefinition(s) of privacy in the Common Criteria, which we thentranscribed in a more formal manner. This lead us to a further reviewof unlinkability, and revision of another semi-formal model allowingfor expression of anonymity and unlinkability -- the Freiburg PrivacyDiamond. We propose new means of describing (obviously only observable)characteristics of a system to reflect the role of contexts forprofiling -- and linking -- users with actions in a system. We believethis approach should allow for evaluating privacy in large data sets.

Keywords

privacy, common criteria, FPD, formal model, graph, context, side channel

Key words in English

privacy, common criteria, FPD, formal model, graph, context, side channel

Authors

CVRČEK, D.; MATYÁŠ, V.

Released

21.09.2004

Location

Brighton

Book

Workshop on Privacy and Security Aspects of Data Mining

Pages from

31

Pages to

39

Pages count

9

BibTex

@inproceedings{BUT17360,
  author="Daniel {Cvrček} and Václav {Matyáš}",
  title="On the role of contectual information for privacy attacks and classification",
  booktitle="Workshop on Privacy and Security Aspects of Data Mining",
  year="2004",
  pages="31--39",
  address="Brighton"
}