License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FSCD.2018.1
URN: urn:nbn:de:0030-drops-91715
URL: https://drops.dagstuhl.de/opus/volltexte/2018/9171/
Go to the corresponding LIPIcs Volume Portal


Delaune, St├ęphanie

Analysing Privacy-Type Properties in Cryptographic Protocols (Invited Talk)

pdf-format:
LIPIcs-FSCD-2018-1.pdf (0.5 MB)


Abstract

Cryptographic protocols aim at securing communications over insecure networks such as the Internet, where dishonest users may listen to communications and interfere with them. For example, passports are no more pure paper documents. Instead, they contain a chip that stores additional information such as pictures and fingerprints of their holder. In order to ensure privacy, these chips include a mechanism, i.e. a cryptographic protocol, that does not let the passport disclose private information to external users except the intended terminal. This is just a single example but of course privacy appears in many other contexts such as RFIDs technologies or electronic voting. Formal methods have been successfully applied to automatically analyse traditional protocols and discover their flaws. Privacy-type security properties (e.g. anonymity, unlinkability, vote secrecy, ...) are expressed relying on a notion of behavioural equivalence, and are actually more difficult to analyse than confidentiality and authentication properties. We will discuss some recent advances that have been done to analyse automatically equivalence-based security properties, and we will review some issues that remain to be solved in this field.

BibTeX - Entry

@InProceedings{delaune:LIPIcs:2018:9171,
  author =	{St{\'e}phanie Delaune},
  title =	{{Analysing Privacy-Type Properties in Cryptographic Protocols (Invited Talk)}},
  booktitle =	{3rd International Conference on Formal Structures for  Computation and Deduction (FSCD 2018)},
  pages =	{1:1--1:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-077-4},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{108},
  editor =	{H{\'e}l{\`e}ne Kirchner},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9171},
  URN =		{urn:nbn:de:0030-drops-91715},
  doi =		{10.4230/LIPIcs.FSCD.2018.1},
  annote =	{Keywords: cryptographic protocols, symbolic models, privacy-related properties, behavioural equivalence}
}

Keywords: cryptographic protocols, symbolic models, privacy-related properties, behavioural equivalence
Collection: 3rd International Conference on Formal Structures for Computation and Deduction (FSCD 2018)
Issue Date: 2018
Date of publication: 04.07.2018


DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI