Paper Info
Title
A Robust and Compression-Combined Digital Image Encryption Method Based on Compressive Sensing
Abstract
This paper proposes a compression-combined digital image encryption method which is robust against consecutive packet loss and malicious shear attack. We utilize the characteristics of compressive sensing, dimensional reduction and random projection, to compress and encrypt a digital image simultaneously. On this basis, block Arnold scrambling is used to permutate the position of measurements. Bit wise XOR operation is executed on the quantized binary bit stream to dissipate the Gaussian distribution property of cipher image. In this paper, one dimensional Logistic mapping is used to generate chaotic sequences, which will be regarded as the parameters of block Arnold transformation and the pseudo-random sequence for XOR operation. Numerical experiments show that the cipher image has following features, robustness, low data volume, incoherence, key sensitivity, and resistance to brute force attack.
Year
DOI
Venue
2011
10.1109/IIHMSP.2011.53
IIH-MSP
Keywords
Field
DocType
encryption method,block arnold transformation,digital image,compression-combined digital image encryption,quantized binary bit stream,malicious shear attack,dimensional reduction,dimensional logistic mapping,compressive sensing,cipher image,brute force attack,compression-combined digital image,xor operation,image reconstruction,gaussian distribution,correlation,robustness,encryption,compressed sensing,data compression
Random projection,Computer vision,Brute-force attack,Cipher,Bitwise operation,Computer science,Encryption,Robustness (computer science),Digital image,Artificial intelligence,Data compression
Conference
Citations 
PageRank 
References 
10
0.61
4
Authors
2
Name
Order
Citations
PageRank
Rong Huang1386.09
Kouichi Sakurai21514213.71