Automated statistical methods for measuring the strength of block ciphers

Authors:
H. M. Gustafson;E. P. Dawson;J. Dj. Golić
Affiliations:
School of Mathematics, Faculty of Science, Queensland University of Technology, Gardens Point, GPO Box 2434, Brisbane, Queensland 4001, Australia;Information Security Research Centre, Faculty of Information Technology, Queensland University of Technology, Gardens Point, GPO Box 2434, Brisbane, Queensland 4001, Australia;Information Security Research Centre, Faculty of Information Technology, Queensland University of Technology, Gardens Point, GPO Box 2434, Brisbane, Queensland 4001, Australia
Venue:
Statistics and Computing
Year:
1997

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Abstract

A block cipher is one of the most common forms of algorithms used for data encryption. This paper describes an efficient set of statistical methods for analysing the security of these algorithms under the black-box approach. The procedures can be fully automated, which provides the designer or user of a block cipher with a useful set of tools for security analysis.