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Towards personalization of trust management service for ubiquitous healthcare environment

Towards personalization of trust management service for ubiquitous healthcare environment

Athanasiou, Georgia, Mantas, Georgios ORCID: 0000-0002-8074-0417, Fengou, Maria-Anna and Lymberopoulos, Dimitrios (2014) Towards personalization of trust management service for ubiquitous healthcare environment. In: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEExplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 297-301. ISSN 2168-2194 (Print), 2168-2208 (Online) (doi:https://doi.org/10.1109/BHI.2014.6864362)

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Abstract

In healthcare, trust is considered to be the key factor for the provision of effective healthcare services. Thus, ubiquitous healthcare environment incorporate Trust Management systems or services for enabling the creation of confident and secure background required for the provision of healthcare services. In this paper the concept of personalized Trust Management service is introduced. However, since this approach makes the service vulnerable to user's subjectivity in this paper is proposed a mechanism that determines the proper in case personalization factor. Especially, it quantifies the Quality of trust Information that user has acquired from past interactions and determines if he/she is capable to discover and select healthcare providers. The introduced mechanism is deployed on a Fuzzy Interference System and its performance was evaluated through simulations in MATLAB/SIMULINK environment.

Item Type: Conference Proceedings
Title of Proceedings: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
Uncontrolled Keywords: personalization, trust management, ubiquitous healthcare
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Science (SCI)
Last Modified: 17 Aug 2021 11:23
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/33503

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