@inproceedings{d8c35d174bf848faa5eb7a57dbde39d2,
title = "Image compressive sensing cryptographic analysis",
abstract = "Lately, there has been a huge interest in compressive sensing (CS) as a technology to perform measurements at a lower sample rate than that of the Nyquist frequency. This is very useful in wireless sensor networks applications where data transmission should be reduced at a minimum in order to save power resources. At the same time the privacy and secrecy of the information transmitted through a wireless channel is a problem that needs attention. This security issue is more relevant in applications where sensitive information is being transmitted, as for example in medical and multimedia devices. In this paper image compressive sensing is analyzed in order to evaluate at what level it can be considered also as an encryption mechanism. This evaluation consists in performing some security analyses and comparing results with those obtained with more traditional encryption algorithms as AES and Camellia. Results show that confidentiality of the information is achieved but at a reduced level compared to their traditional encryption counterparts.",
keywords = "Compressive sensing, Confidentiality, Encryption, Image, Security analysis",
author = "Escamilla-Ambrosio, {P. J.} and M. Salinas-Rosales and E. Aguirre-Anaya and R. Acosta-Bermejo",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 26th International Conference on Electronics, Communications and Computers, CONIELECOMP 2016 ; Conference date: 24-02-2016 Through 26-02-2016",
year = "2016",
month = mar,
day = "21",
doi = "10.1109/CONIELECOMP.2016.7438556",
language = "Ingl{\'e}s",
series = "2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "81--86",
booktitle = "2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016",
address = "Estados Unidos",
}