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On-Board Format-Independent Security of Functional Magnetic Resonance Images

On-Board Format-Independent Security of Functional Magnetic Resonance Images Functional magnetic resonance imaging (fMRI) provides an effective and noninvasive tool for researchers to understand cerebral functions and correlate them with brain activities. In addition, with the ever-increasing diffusion of the Internet, such images may be exchanged in several ways, allowing new research and medical services. On the other hand, ensuring the security of exchanged fMRI data becomes a main concern due to their special characteristics arising from strict ethics and legislative and diagnostic implications. Again, the risks increase when dealing with open environments like the Internet. For this reason, security mechanisms that ensure protection of such data are strongly required. However, we remark that the mechanisms commonly employed for data protection are doomed to fail when dealing with imaging data. In this article, we propose a novel watermarking scheme explicitly addressed for this type of imaging. Such a scheme can be used for several purposes, particularly to ensure authenticity and integrity. Moreover, we show how to integrate our scheme within commercial off-the-shelf fMRI system. Finally, the validity and the efficiency of our scheme has been assessed through testing. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Embedded Computing Systems (TECS) Association for Computing Machinery

On-Board Format-Independent Security of Functional Magnetic Resonance Images

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References (23)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2017 ACM
ISSN
1539-9087
eISSN
1558-3465
DOI
10.1145/2893474
Publisher site
See Article on Publisher Site

Abstract

Functional magnetic resonance imaging (fMRI) provides an effective and noninvasive tool for researchers to understand cerebral functions and correlate them with brain activities. In addition, with the ever-increasing diffusion of the Internet, such images may be exchanged in several ways, allowing new research and medical services. On the other hand, ensuring the security of exchanged fMRI data becomes a main concern due to their special characteristics arising from strict ethics and legislative and diagnostic implications. Again, the risks increase when dealing with open environments like the Internet. For this reason, security mechanisms that ensure protection of such data are strongly required. However, we remark that the mechanisms commonly employed for data protection are doomed to fail when dealing with imaging data. In this article, we propose a novel watermarking scheme explicitly addressed for this type of imaging. Such a scheme can be used for several purposes, particularly to ensure authenticity and integrity. Moreover, we show how to integrate our scheme within commercial off-the-shelf fMRI system. Finally, the validity and the efficiency of our scheme has been assessed through testing.

Journal

ACM Transactions on Embedded Computing Systems (TECS) – Association for Computing Machinery

Published: Jan 10, 2017

Keywords: fMRI

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