9 February 2012 Noise removing in encrypted color images by statistical analysis
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Abstract
Cryptographic techniques are used to secure confidential data from unauthorized access but these techniques are very sensitive to noise. A single bit change in encrypted data can have catastrophic impact over the decrypted data. This paper addresses the problem of removing bit error in visual data which are encrypted using AES algorithm in the CBC mode. In order to remove the noise, a method is proposed which is based on the statistical analysis of each block during the decryption. The proposed method exploits local statistics of the visual data and confusion/diffusion properties of the encryption algorithm to remove the errors. Experimental results show that the proposed method can be used at the receiving end for the possible solution for noise removing in visual data in encrypted domain.
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N. Islam, N. Islam, W. Puech, W. Puech, } "Noise removing in encrypted color images by statistical analysis", Proc. SPIE 8303, Media Watermarking, Security, and Forensics 2012, 83030U (9 February 2012); doi: 10.1117/12.910497; https://doi.org/10.1117/12.910497
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