Enhancing trust-based medical smartphone networks via blockchain-based traffic sampling

Wenjuan LI, Weizhi MENG, Laurence T. YANG

Research output: Chapter in Book/Report/Conference proceedingChapters

6 Citations (Scopus)

Abstract

With more devices being inter- or intra-connected, Internet of Things (IoT) has gradually been adopted in many disciplines, such as healthcare industry, coined as Internet of Medical Things (IoMT). The purpose of IoMT is to facilitate the efficiency and effectiveness of medical operations, i.e., remotely monitoring the status of patients. In such healthcare environments, smartphones have become an important device to communicate with others and update the information of patients, resulting in a special type of IoMT called Medical Smartphone Networks (MSNs). To reinforce the distributed architecture, trust management schemes are often implemented to defend against insider attacks. However, how to maintain the robustness of trust management in heavy traffic networks still remains a challenge, i.e., COVID-19 incident would cause excessive traffic for healthcare organizations and increase the difficulty of validating trustworthiness among MSN nodes. In this work, we focus on this issue and propose a blockchain-enabled adaptive traffic sampling method to help enhance the robustness of trust management under high traffic environments. The use of blockchain technology aims to build a verified database of malicious traffic among all nodes. The evaluation in a real healthcare environment demonstrates the viability and effectiveness of our approach. Copyright © 2021 IEEE.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2021
Place of PublicationUSA
PublisherIEEE
Pages122-129
ISBN (Electronic)9781665416580
DOIs
Publication statusPublished - 2021

Citation

Li, W., Meng, W., & Yang, L. T. (2021). Enhancing trust-based medical smartphone networks via blockchain-based traffic sampling. In Proceedings of 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2021 (pp. 122-129). IEEE. https://doi.org/10.1109/TrustCom53373.2021.00034

Keywords

  • Internet of medical things
  • Medical smartphone networks
  • Insider threat
  • Blockchain
  • Traffic sampling

Fingerprint

Dive into the research topics of 'Enhancing trust-based medical smartphone networks via blockchain-based traffic sampling'. Together they form a unique fingerprint.