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On $$ \mathit {g} $$ -vulnerability

  • Mário S. Alvim
  • , Konstantinos Chatzikokolakis
  • , Annabelle McIver
  • , Carroll Morgan
  • , Catuscia Palamidessi
  • , Geoffrey Smith
  • Department of Computer Science
  • Universidade Federal de Minas Gerais
  • Department of Informatics and Telecommunications
  • University of Athens
  • Department of Computing
  • Macquarie University
  • School of Computer Science & Engineering
  • University of New South Wales
  • Florida International University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

As we have just seen in Chap. 2, Bayes vulnerability measures one basic threat to a secret X, namely the risk that the adversary could correctly guess it in one try. But of course there are many other operational scenarios that we could be worried about.

Original languageEnglish
Title of host publicationInformation Security and Cryptography
PublisherSpringer Science and Business Media Deutschland GmbH
Pages25-46
Number of pages22
DOIs
Publication statusPublished - 1 Jan 2020

Publication series

NameInformation Security and Cryptography
ISSN (Print)1619-7100
ISSN (Electronic)2197-845X

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