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Evaluating Secrecy Capacity for In-Body Wireless Channels

The next generation of implanted medical devices is expected to be wireless, bringing along new security threats. Thus, it is critical to secure the communication between legitimate nodes inside the body from a possible eavesdropper. This work assesses the feasibility of securing next generation mul...

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Autores principales: Awan, Muhammad Faheem, Fang, Xiao, Ramzan, Mehrab, Neumann, Niels, Wang, Qiong, Plettemeier, Dirk, Kansanen, Kimmo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515387/
http://dx.doi.org/10.3390/e21090858
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author Awan, Muhammad Faheem
Fang, Xiao
Ramzan, Mehrab
Neumann, Niels
Wang, Qiong
Plettemeier, Dirk
Kansanen, Kimmo
author_facet Awan, Muhammad Faheem
Fang, Xiao
Ramzan, Mehrab
Neumann, Niels
Wang, Qiong
Plettemeier, Dirk
Kansanen, Kimmo
author_sort Awan, Muhammad Faheem
collection PubMed
description The next generation of implanted medical devices is expected to be wireless, bringing along new security threats. Thus, it is critical to secure the communication between legitimate nodes inside the body from a possible eavesdropper. This work assesses the feasibility of securing next generation multi-nodal leadless cardiac pacemakers using physical layer security methods. The secure communication rate without leakage of information to an eavesdropper, referred to as secrecy capacity, depends on the signal-to-noise ratios (SNRs) of the eavesdropper and legitimate channels and will be used as a performance metric. Numerical electromagnetic simulations are utilized to compute the wireless channel models for the respective links. These channel models can be approximated with a log-normal distribution which can be used to evaluate the probability of positive secrecy capacity and the outage probability of this secrecy capacity. The channels are modeled for three different frequency bands and a comparison between their secrecy capacities is provided with respect to the eavesdropper distance. It has been found that the positive secrecy capacity is achievable within the personal space of the human body for all the frequency bands, with the medical implant communication systems (MICS) band outperforming others.
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spelling pubmed-75153872020-11-09 Evaluating Secrecy Capacity for In-Body Wireless Channels Awan, Muhammad Faheem Fang, Xiao Ramzan, Mehrab Neumann, Niels Wang, Qiong Plettemeier, Dirk Kansanen, Kimmo Entropy (Basel) Article The next generation of implanted medical devices is expected to be wireless, bringing along new security threats. Thus, it is critical to secure the communication between legitimate nodes inside the body from a possible eavesdropper. This work assesses the feasibility of securing next generation multi-nodal leadless cardiac pacemakers using physical layer security methods. The secure communication rate without leakage of information to an eavesdropper, referred to as secrecy capacity, depends on the signal-to-noise ratios (SNRs) of the eavesdropper and legitimate channels and will be used as a performance metric. Numerical electromagnetic simulations are utilized to compute the wireless channel models for the respective links. These channel models can be approximated with a log-normal distribution which can be used to evaluate the probability of positive secrecy capacity and the outage probability of this secrecy capacity. The channels are modeled for three different frequency bands and a comparison between their secrecy capacities is provided with respect to the eavesdropper distance. It has been found that the positive secrecy capacity is achievable within the personal space of the human body for all the frequency bands, with the medical implant communication systems (MICS) band outperforming others. MDPI 2019-09-03 /pmc/articles/PMC7515387/ http://dx.doi.org/10.3390/e21090858 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Awan, Muhammad Faheem
Fang, Xiao
Ramzan, Mehrab
Neumann, Niels
Wang, Qiong
Plettemeier, Dirk
Kansanen, Kimmo
Evaluating Secrecy Capacity for In-Body Wireless Channels
title Evaluating Secrecy Capacity for In-Body Wireless Channels
title_full Evaluating Secrecy Capacity for In-Body Wireless Channels
title_fullStr Evaluating Secrecy Capacity for In-Body Wireless Channels
title_full_unstemmed Evaluating Secrecy Capacity for In-Body Wireless Channels
title_short Evaluating Secrecy Capacity for In-Body Wireless Channels
title_sort evaluating secrecy capacity for in-body wireless channels
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515387/
http://dx.doi.org/10.3390/e21090858
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