Security enhancement of visual hashes through key dependent wavelet transformations

Authors:
Albert Meixner;Andreas Uhl
Affiliations:
Department of Computer Science, Duke University;Department of Scientific Computing, Salzburg University, Austria
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

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Abstract

Parameterized wavelet filters and wavelet packet subband structures are discussed to be used as key dependent wavelet transforms in order to enhance the security of wavelet based hashing schemes. Experiments show that key dependency and keyspace of the hashing scheme considered have been significantly improved. The attack resistance could only be slightly enhanced by using parametrized wavelet filters.