Assessing vulnerabilities in IoT-based ambient assisted living systems

Cristescu, Ioana-Domnina, Gimenez Manuel, Jose Gines and Augusto, Juan Carlos ORCID: https://orcid.org/0000-0002-0321-9150 (2020) Assessing vulnerabilities in IoT-based ambient assisted living systems. In: Security and privacy in Internet of Things: challenges and solutions. Hernaandez Ramos, José Luis and Skarmeta, Antonio, eds. Ambient Intelligence and Smart Environments, 27 . IOS Press, pp. 94-107. ISBN 9781643680521, e-ISBN 9781643680538. (doi:10.3233/AISE200007)

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Abstract

Ambient Assisted Living systems aim at providing automated support to humans with special needs. Smart Homes equipped with Internet of Things infrastructure supporting the development of Ambient Intelligence which can look after humans is being widely investigated worldwide. As any IT based system, these have strengths and also weaknesses. One dimension of these systems developers want to strengthen is security, eliminating or at least reducing as much as possible potential threats. The motivation is clear, as these systems gather sensitive information about the health of an individual there is potential for harm if that information is accessed and used by the wrong person. This chapter starts by providing an analysis of stakeholders in this area. Then explains the IoT infrastructure used as a testbed for the main security analysis methods and tools. Finally it explains a process to assess the likelihood of certain vulnerabilities in the system. This process is mainly focused on the design stage of a system. It can be iteratively combined with development to inform a developing team which system architectures may be safer and worth given development priority.

Item Type: Book Section
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 28464
Notes on copyright: The final publication is available at IOS Press through http://dx.doi.org/10.3233/AISE200007
Useful Links:
Depositing User: Juan Augusto
Date Deposited: 02 Dec 2019 10:51
Last Modified: 06 Aug 2020 11:05
URI: https://eprints.mdx.ac.uk/id/eprint/28464

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