Trust-based DoS mitigation technique for medical implants in wireless body area networks

Muhammad Usman, Muhammad Rizwan Asghar, Imran Shafique Ansari, Fabrizio Granelli, Marwa Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


Medical implants are an important part of Wireless Body Area Networks (WBANs) and play an important role to monitor, diagnose, and control various medical conditions. These tiny sensors are injected inside human body to measure and communicate various vital signs of a human body. Since the information transmitted by implants is very sensitive and critical in nature, both availability and confidentiality of such information are of prime importance. A possible security threat in medical implants that can breach the availability of the medical implants is a Denial of Service (DoS) attack. In this work, we propose a solution to mitigate DoS attack in the Medical Implant Communication Service (MICS) network. We propose a three-level trust model for a MICS network based on its environment and couple a threshold of maximum allowed data rate to each environment. The simulation results show that DoS attacks can be seamlessly mitigated in many MICS settings.
Original languageEnglish
Title of host publication2019 IEEE International Conference on Communications (ICC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538680889
ISBN (Print)9781538680896
Publication statusPublished - 15 Jul 2019
Event 2019 IEEE International Conference on Communications - Oriental Riverside Hotel, Shanghai, China
Duration: 20 May 201924 May 2019 (Link to conference website)

Publication series

ISSN (Print)1550-3607
ISSN (Electronic)1938-1883


Conference 2019 IEEE International Conference on Communications
Abbreviated titleIEEE ICC 2019
Internet address


  • DoS attack
  • environment sensing
  • trust
  • WBAN
  • privacy
  • security
  • healthcare systems
  • remote monitoring
  • implants
  • wearables


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