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Proceedings Paper

Characterizing cryptographic primitives for lightweight digital image encryption
Author(s): Farid Ahmed; Cheryl L. Resch
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Paper Abstract

We present a statistical footprint-based method to characterize several symmetric cryptographic primitives as they are used in lightweight digital image encryption. In particular, using spatial-domain histogram and frequency-domain image analysis techniques, we identify a number of metrics from the encrypted images and use them to contrast the security performance of different cryptographic primitives. For each of the metrics, the best performing cryptographic primitive is identified. Complementary primitives are then combined to result in a product cipher with better cryptographic performance.

Paper Details

Date Published: 5 May 2009
PDF: 11 pages
Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510G (5 May 2009); doi: 10.1117/12.817907
Show Author Affiliations
Farid Ahmed, The Johns Hopkins Univ. Applied Physics Lab. (United States)
Cheryl L. Resch, The Johns Hopkins Univ. Applied Physics Lab. (United States)


Published in SPIE Proceedings Vol. 7351:
Mobile Multimedia/Image Processing, Security, and Applications 2009
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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