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Attack-Tree Based Risk Assessment on Cloud-Oriented Wireless Body Area Network

Author

Listed:
  • Theodoros Mavroeidakos

    (University of Piraeus, Greece)

  • Nikolaos Peter Tsolis

    (University of Piraeus, Piraeus, Greece)

  • Dimitrios D. Vergados

    (University Of Piraeus, Piraeus, Greece)

  • Stavros Kotsopoulos

    (Wireless Telecommunications Laboratory, Department of Electrical and Computer Engineering, University of Patras, Patras, Greece)

Abstract

Machine-to-machine (M2M) communication is an emerging technology with unrivaled benefits in the fields of e Health and m-Health. The wireless body area networks (WBANs) consist of a major subdomain of M2M communications. The WBANs coupled with the Cloud Computing (CC) paradigm introduce a supreme infrastructure in terms of performance and Quality of Services (QoS) for the development of eHealth applications. In this article, a risk assessment aiming to disclose potential threats and highlight exploitation of health care services, is introduced. The proposed assessment is based upon the implementation of a series of steps. Initially, the health care WBAN-CC infrastructure is scrutinized; then, its threats' taxonomy is identified. Then, a risk assessment is carried out based on an attack-tree consisting of the most hazardous threats against Personally Identifiable Information (PII) disclosure. Thus, the implementation of several countermeasures is realized as a means to mitigate gaps.

Suggested Citation

  • Theodoros Mavroeidakos & Nikolaos Peter Tsolis & Dimitrios D. Vergados & Stavros Kotsopoulos, 2019. "Attack-Tree Based Risk Assessment on Cloud-Oriented Wireless Body Area Network," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 11(4), pages 63-79, October.
    • Handle: RePEc:igg:jitn00:v:11:y:2019:i:4:p:63-79
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