Secured telemetry based on time-variant sensing matrix – An empirical study of spectroscopic profiling
This paper proposes a CS (Compressed Sensing)-crypto telemetry mechanism. Time-variant sub-Nyquist sensing matrix is designed as a dynamic cryptographic key to secure the node-to-node signal transmission. The computational secrecy of the proposed method is verified through a case study of Raman spec...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Elsevier
2023-10-01
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Series: | Smart Agricultural Technology |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375523000989 |
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author | Yinsheng Zhang Menglei Liu |
author_facet | Yinsheng Zhang Menglei Liu |
author_sort | Yinsheng Zhang |
collection | DOAJ |
description | This paper proposes a CS (Compressed Sensing)-crypto telemetry mechanism. Time-variant sub-Nyquist sensing matrix is designed as a dynamic cryptographic key to secure the node-to-node signal transmission. The computational secrecy of the proposed method is verified through a case study of Raman spectroscopy, in which we have shown that the blind reconstruction is inherently stochastic, and the search space grows exponentially with signal dimension. |
first_indexed | 2024-03-13T04:42:13Z |
format | Article |
id | doaj.art-3d52777c618644729dff3df1faff1aee |
institution | Directory Open Access Journal |
issn | 2772-3755 |
language | English |
last_indexed | 2024-03-13T04:42:13Z |
publishDate | 2023-10-01 |
publisher | Elsevier |
record_format | Article |
series | Smart Agricultural Technology |
spelling | doaj.art-3d52777c618644729dff3df1faff1aee2023-06-19T04:30:35ZengElsevierSmart Agricultural Technology2772-37552023-10-015100268Secured telemetry based on time-variant sensing matrix – An empirical study of spectroscopic profilingYinsheng Zhang0Menglei Liu1Zhejiang Food and Drug Quality & Safety Engineering Research Institute, Zhejiang Gongshang University, Hangzhou, 310018, China; School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China; Corresponding author.School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, ChinaThis paper proposes a CS (Compressed Sensing)-crypto telemetry mechanism. Time-variant sub-Nyquist sensing matrix is designed as a dynamic cryptographic key to secure the node-to-node signal transmission. The computational secrecy of the proposed method is verified through a case study of Raman spectroscopy, in which we have shown that the blind reconstruction is inherently stochastic, and the search space grows exponentially with signal dimension.http://www.sciencedirect.com/science/article/pii/S2772375523000989Compressed sensingSpectroscopic profilingSignal transmissionSecured telemetry |
spellingShingle | Yinsheng Zhang Menglei Liu Secured telemetry based on time-variant sensing matrix – An empirical study of spectroscopic profiling Smart Agricultural Technology Compressed sensing Spectroscopic profiling Signal transmission Secured telemetry |
title | Secured telemetry based on time-variant sensing matrix – An empirical study of spectroscopic profiling |
title_full | Secured telemetry based on time-variant sensing matrix – An empirical study of spectroscopic profiling |
title_fullStr | Secured telemetry based on time-variant sensing matrix – An empirical study of spectroscopic profiling |
title_full_unstemmed | Secured telemetry based on time-variant sensing matrix – An empirical study of spectroscopic profiling |
title_short | Secured telemetry based on time-variant sensing matrix – An empirical study of spectroscopic profiling |
title_sort | secured telemetry based on time variant sensing matrix an empirical study of spectroscopic profiling |
topic | Compressed sensing Spectroscopic profiling Signal transmission Secured telemetry |
url | http://www.sciencedirect.com/science/article/pii/S2772375523000989 |
work_keys_str_mv | AT yinshengzhang securedtelemetrybasedontimevariantsensingmatrixanempiricalstudyofspectroscopicprofiling AT mengleiliu securedtelemetrybasedontimevariantsensingmatrixanempiricalstudyofspectroscopicprofiling |