Abstract

With technological advancement, implanted medical devices can treat a wide range of chronic diseases such as cardiac arrhythmia, deafness, diabetes, etc. Cardiac pacemakers are used to maintain normal heart rhythms. The next generation of these pacemakers is expected to be completely wireless, providing new security threats. Thus, it is critical to secure pacemaker transmissions between legitimate nodes from a third party or an eavesdropper. This work estimates the eavesdropping risk and explores the potential of securing transmissions between leadless capsules inside the heart and the subcutaneous implant under the skin against external eavesdroppers by using physical-layer security methods. In this work, we perform phantom experiments to replicate the dielectric properties of the human heart, blood, and fat for channel modeling between in-body-to-in-body devices and from in-body-to-off-body scenario. These scenarios reflect the channel between legitimate nodes and that between a legitimate node and an eavesdropper. In our case, a legitimate node is a leadless cardiac pacemaker implanted in the right ventricle of a human heart transmitting to a legitimate receiver, which is a subcutaneous implant beneath the collar bone under the skin. In addition, a third party outside the body is trying to eavesdrop the communication. The measurements are performed for ultrawide band (UWB) and industrial, scientific, and medical (ISM) frequency bands. By using these channel models, we analyzed the risk of using the concept of outage probability and determine the eavesdropping range in the case of using UWB and ISM frequency bands. Furthermore, the probability of positive secrecy capacity is also determined, along with outage probability of a secrecy rate, which are the fundamental parameters in depicting the physical-layer security methods. Here, we show that path loss follows a log-normal distribution. In addition, for the ISM frequency band, the probability of successful eavesdropping for a data rate of 600 kbps (Electromyogram (EMG)) is about 97.68% at an eavesdropper distance of 1.3 m and approaches 28.13% at an eavesdropper distance of 4.2 m, whereas for UWB frequency band the eavesdropping risk approaches 0.2847% at an eavesdropper distance of 0.22 m. Furthermore, the probability of positive secrecy capacity is about 44.88% at eavesdropper distance of 0.12 m and approaches approximately 97% at an eavesdropper distance of 0.4 m for ISM frequency band, whereas for UWB, the same statistics are 96.84% at 0.12 m and 100% at 0.4 m. Moreover, the outage probability of secrecy capacity is also determined by using a fixed secrecy rate.

Highlights

  • Rapid development in personal health systems due to wireless body area networks (WBAN)has resulted in a number of implantable and wearable medical devices

  • Our work focuses on the analysis of the eavesdropping risk and secrecy rate between a node implanted in the right ventricle and another node as subcutaneous implanted, but it can be applicable to other scenarios for in-body communications

  • For ultrawide band (UWB) frequency band, considering the same statistics, outage probability at an eavesdropping distance of 120 mm is about 78%, whereas for eavesdropping distance of 400 mm it falls to about 0.5 × 10−6 %, which shows the rapid decay in outage probability of secrecy rate

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Summary

Introduction

Rapid development in personal health systems due to wireless body area networks (WBAN). Our work focuses on the analysis of the eavesdropping risk and secrecy rate between a node implanted in the right ventricle and another node as subcutaneous implanted, but it can be applicable to other scenarios for in-body communications. These scenarios may include communication between nodes within a heart. We develop path-loss models for an in-body-to-in-body (IB2IB) scenario (a legitimate link between the leadless pacemaker in the right ventricle of the human heart and the subcutaneous implant under the skin below the shoulder) and an in-body-to-off-body (IB2OFF). Single and multilayer phantoms for heart muscle, fat, and blood are developed for respective frequency bands Channel modeling of both legitimate link (IB2IB) and eavesdropper link (IB2OFF).

Background
Problem Description
Measurement Setup
Phantom Composition and Antenna Description
ISM Band
UWB Frequency Band
Measured Channel Models
Path-Loss Models
IB2IB or Legitimate Link
IB2OFF or Eavesdropper Link
Eavesdropper Model
Pse for ISM and UWB Frequency Band
Secrecy Capacity Analysis
Discussions
Findings
Conclusions
Full Text
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