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Joint and Conditional Guesswork: Definitions and Implications
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT. (Datavetenskap)
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT. (Datavetenskap)ORCID iD: 0000-0003-0778-4736
2011 (English)In: Journal of Information Assurance and Security, ISSN 1554-1010, Vol. 6, no 2, p. 89-97Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Atlanta, GA, USA: Dynamic Publishers Incorporation , 2011. Vol. 6, no 2, p. 89-97
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-10424OAI: oai:DiVA.org:kau-10424DiVA, id: diva2:493958
Available from: 2012-02-08 Created: 2012-02-08 Last updated: 2018-01-12Bibliographically approved
In thesis
1. Guesswork and Entropy as Security Measures for Selective Encryption
Open this publication in new window or tab >>Guesswork and Entropy as Security Measures for Selective Encryption
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

More and more effort is being spent on security improvements in today's computer environments, with the aim to achieve an appropriate level of security. However, for small computing devices it might be necessary to reduce the computational cost imposed by security in order to gain reasonable performance and/or energy consumption. To accomplish this selective encryption can be used, which provides confidentiality by only encrypting chosen parts of the information. Previous work on selective encryption has chiefly focused on how to reduce the computational cost while still making the information perceptually secure, but not on how computationally secure the selectively encrypted information is. 

Despite the efforts made and due to the harsh nature of computer security, good quantitative assessment methods for computer security are still lacking. Inventing new ways of measuring security are therefore needed in order to better understand, assess, and improve the security of computer environments. Two proposed probabilistic quantitative security measures are entropy and guesswork. Entropy gives the average number of guesses in an optimal binary search attack, and guesswork gives the average number of guesses in an optimal linear search attack. In information theory, a considerable amount of research has been carried out on entropy and on entropy-based metrics. However, the same does not hold for guesswork.

In this thesis, we evaluate the performance improvement when using the proposed generic selective encryption scheme. We also examine the confidentiality strength of selectively encrypted information by using and adopting entropy and guesswork. Moreover, since guesswork has been less theoretical investigated compared to entropy, we extend guesswork in several ways and investigate some of its behaviors.

Place, publisher, year, edition, pages
Karlstad: Karlstad University Press, 2012. p. 30
Series
Karlstad University Studies, ISSN 1403-8099 ; 2012:36
Keywords
Computer security, security metrics, selective encryption, confidentiality, entropy, guesswork.
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-14032 (URN)978-91-7063-443-7 (ISBN)
Public defence
2012-09-27, 9C 203, Karlstads universitet, 65187 Karlstad, 13:15 (English)
Opponent
Supervisors
Available from: 2012-09-04 Created: 2012-06-28 Last updated: 2018-06-25Bibliographically approved

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