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Security Threats and Cryptographic Protocols for Medical Wearables

Author

Listed:
  • Luis Hernández-Álvarez

    (Institute of Physical and Information Technologies (ITEFI), Spanish National Research Council (CSIC), 28006 Madrid, Spain
    Computer Security Lab (COSEC), Universidad Carlos III de Madrid, 28911 Madrid, Spain
    These authors contributed equally to this work.)

  • Juan José Bullón Pérez

    (Higher Technical School of Industrial Engineering, Universidad de Salamanca, 37700 Salamanca, Spain
    These authors contributed equally to this work.)

  • Farrah Kristel Batista

    (Institute of Fundamental Physics and Mathematics, Universidad de Salamanca, 37008 Salamanca, Spain
    These authors contributed equally to this work.)

  • Araceli Queiruga-Dios

    (Higher Technical School of Industrial Engineering, Universidad de Salamanca, 37700 Salamanca, Spain
    Institute of Fundamental Physics and Mathematics, Universidad de Salamanca, 37008 Salamanca, Spain
    These authors contributed equally to this work.)

Abstract

In the past few years, the use of several medical devices is increasing. This paper will pay attention to a device developed to get measures of the temperature of diabetic foot. These wearables usually do not have cryptographic protocols to guarantee data security. This study analyzes the existing security in these devices, and simulate malware propagation taking into account the vulnerabilities and lack of security in these highly-constrained interconnected devices. A simulation of malware spreading in a network made by 10 and 15 individuals with 6 and 34 sensors each one, respectively, is included in this study. To avoid such attacks, a lightweight cryptographic protocol could be a satisfactory solution. Considering the quick development of quantum computers, several current cryptographic protocols have been compromised.

Suggested Citation

  • Luis Hernández-Álvarez & Juan José Bullón Pérez & Farrah Kristel Batista & Araceli Queiruga-Dios, 2022. "Security Threats and Cryptographic Protocols for Medical Wearables," Mathematics, MDPI, vol. 10(6), pages 1-17, March.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:6:p:886-:d:768484
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    References listed on IDEAS

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    1. Seung-Kyun Kang & Rory K. J. Murphy & Suk-Won Hwang & Seung Min Lee & Daniel V. Harburg & Neil A. Krueger & Jiho Shin & Paul Gamble & Huanyu Cheng & Sooyoun Yu & Zhuangjian Liu & Jordan G. McCall & Ma, 2016. "Bioresorbable silicon electronic sensors for the brain," Nature, Nature, vol. 530(7588), pages 71-76, February.
    2. Farrah Kristel Batista & Angel Martín del Rey & Araceli Queiruga-Dios, 2020. "A New Individual-Based Model to Simulate Malware Propagation in Wireless Sensor Networks," Mathematics, MDPI, vol. 8(3), pages 1-23, March.
    3. Mills, Adam J. & Watson, Richard T. & Pitt, Leyland & Kietzmann, Jan, 2016. "Wearing safe: Physical and informational security in the age of the wearable device," Business Horizons, Elsevier, vol. 59(6), pages 615-622.
    4. Ioan Stefan Sacala & Mihnea Alexandru Moisescu, 2014. "The Development of Enterprise Systems based on Cyber- Physical Systems Principles," Romanian Statistical Review, Romanian Statistical Review, vol. 62(4), pages 29-39, December.
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    Cited by:

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