Paper
4 May 2009 Characterizing cryptographic primitives for lightweight digital image encryption
Farid Ahmed, Cheryl L. Resch
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Farid Ahmed and Cheryl L. Resch "Characterizing cryptographic primitives for lightweight digital image encryption", Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510G (4 May 2009); https://doi.org/10.1117/12.817907
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image encryption

Diffusion

Computer security

Image compression

Multimedia

Image quality

Multimedia encryption

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