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...

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Bibliographic Details
Main Authors: Yinsheng Zhang, Menglei Liu
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Smart Agricultural Technology
Subjects:
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.
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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