Paper 2001/033
Dual of New Method for Upper Bounding the Maximum Average Linear Hull Probability for SPNs
Liam Keliher, Henk Meijer, and Stafford Tavares
Abstract
In [3], we present a new algorithm for computing an upper bound on the maximum average linear hull probability (MALHP) for the SPN symmetric cipher structure, a value required to make claims about provable security against linear cryptanalysis. This algorithm improves on existing work in that the resulting upper bound is a function of the number of encryption rounds (other upper bounds known to the authors are not), and moreover, it can be computed for an SPN with any linear transformation layer (the best previous result, that of Hong et.al [4], applies only to SPNs with highly diffusive linear transformations). It is well known that there exists a duality between linear cryptanalysis and differential cryptanalysis which allows certain results related to one of the attacks to be translated into the corresponding results for the other attack [1,5]. Since this duality applies to our work in [3], we immediately obtain an algorithm for upper bounding the maximum average differential probability (MADP) for SPNs (required to make claims about provable security against differential cryptanalysis). Note: In what follows, we assume familiarity with the notation and results of [3].
Metadata
- Available format(s)
- PDF PS
- Category
- Secret-key cryptography
- Publication info
- Published elsewhere. Not published elsewhere
- Keywords
- SPNmaximum average differential probabilityprovable securityRijndaelAES
- Contact author(s)
- keliher @ cs queensu ca
- History
- 2001-05-09: last of 2 revisions
- 2001-05-03: received
- See all versions
- Short URL
- https://ia.cr/2001/033
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2001/033, author = {Liam Keliher and Henk Meijer and Stafford Tavares}, title = {Dual of New Method for Upper Bounding the Maximum Average Linear Hull Probability for {SPNs}}, howpublished = {Cryptology {ePrint} Archive, Paper 2001/033}, year = {2001}, url = {https://eprint.iacr.org/2001/033} }