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Compressed sensing based encryption with data scramblers

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Abstract
In this paper, we proposed a secure image encryption system based on compressed
sensing (CS) with a scrambling mechanism. For efficient encryption, we use a sparse
measurement mtrix, where the nonzero elements are generated by a linear feedback shift
register (LFSR) based keystream generator. Then, several pairs of data scramblers, also
based on LFSR, are attached behind the CS-encryption for enhancing the security by
diffusion. While guaranteeing theoretically reliable CS-decryption, numerical results
indicate that the proposed cryptosystem has more reliable CS-decryption performance
than other CS-based cryptosystems. Examining the histogram, entropy and corrlelation
of the ciphertexts, experimental results demonstrate that the proposed cryptosystem
has strong statistical security. Moreover, it turns out that the proposed cryptosystem
has higher plaintext sensitivity than other CS-based cryptosystems, thanks to the bit-level
diffusion from the scramblers.
Author(s)
Jaephil Choi
Issued Date
2022
Type
Thesis
URI
https://scholar.gist.ac.kr/handle/local/19022
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