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Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring
Information within systems can be extracted through side-channels; unintended communication channels that leak information. The concept of side-channel sensing is explored, in which sensor data is analysed in non-trivial ways to recover subtle, hidden or unexpected information. Practical examples of...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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IEEE
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571867/ https://www.ncbi.nlm.nih.gov/pubmed/33094036 http://dx.doi.org/10.1109/JTEHM.2020.3028996 |
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collection | PubMed |
description | Information within systems can be extracted through side-channels; unintended communication channels that leak information. The concept of side-channel sensing is explored, in which sensor data is analysed in non-trivial ways to recover subtle, hidden or unexpected information. Practical examples of side-channel sensing are well known in domains such as cybersecurity (CYB), but are not formally recognised within the domain of medical diagnostics and monitoring (MDM). This article reviews side-channel usage within CYB and MDM, identifying techniques and methodologies applicable to both domains. We establish a systematic structure for the use of side-channel sensing in MDM that is comparable to existing structures in CYB, and promote cross-domain transferability of knowledge, mindsets, and techniques. |
format | Online Article Text |
id | pubmed-7571867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | IEEE |
record_format | MEDLINE/PubMed |
spelling | pubmed-75718672020-10-21 Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring IEEE J Transl Eng Health Med Article Information within systems can be extracted through side-channels; unintended communication channels that leak information. The concept of side-channel sensing is explored, in which sensor data is analysed in non-trivial ways to recover subtle, hidden or unexpected information. Practical examples of side-channel sensing are well known in domains such as cybersecurity (CYB), but are not formally recognised within the domain of medical diagnostics and monitoring (MDM). This article reviews side-channel usage within CYB and MDM, identifying techniques and methodologies applicable to both domains. We establish a systematic structure for the use of side-channel sensing in MDM that is comparable to existing structures in CYB, and promote cross-domain transferability of knowledge, mindsets, and techniques. IEEE 2020-10-06 /pmc/articles/PMC7571867/ /pubmed/33094036 http://dx.doi.org/10.1109/JTEHM.2020.3028996 Text en https://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring |
title | Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring |
title_full | Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring |
title_fullStr | Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring |
title_full_unstemmed | Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring |
title_short | Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring |
title_sort | side-channel sensing: exploiting side-channels to extract information for medical diagnostics and monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571867/ https://www.ncbi.nlm.nih.gov/pubmed/33094036 http://dx.doi.org/10.1109/JTEHM.2020.3028996 |
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