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

Theodoros Mavroeidakos, Nikolaos Peter Tsolis, Dimitrios D. Vergados and Stavros Kotsopoulos
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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

International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 2019, vol. 11, issue 4, 63-79

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.

Date: 2019
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