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Contributions to Context-Aware Smart Healthcare: A Security and Privacy Perspective
by Edgar Batista de Frutos
| Institution: | Universitat Rovira i Virgili |
|---|---|
| Department: | Departament d'Enginyeria Informàtica i Matemàtiques |
| Degree: | |
| Year: | 2022 |
| Keywords: | Salut Intel·ligent; Privadesa; Seguretat de la Informació; Salud Inteligente; Privacidad; Seguridad de la Información; Smart Health; Privacy; Information Security; Enginyeria i arquitectura; 004; 51; 614; 62 |
| Posted: | 3/25/2025 |
| Record ID: | 2281993 |
| Full text PDF: | http://hdl.handle.net/10803/675650 |
Information and communication technologies have irreversibly changed our lives. The healthcare industry, one of the world’s largest and fastest-growing industries, is dedicating many efforts in adopting the latest technologies into daily medical practice. It is not therefore surprising that healthcare paradigms are constantly evolving seeking for more efficient, effective and sustainable services. In this context, the potential of ubiquitous computing through smartphones, smartwatches, wearables and IoT devices has become fundamental to collect large volumes of data, including people's health status and people’s location. The enhanced sensing capabilities together with the emergence of high-speed telecommunication networks have facilitated the implementation of context-aware environments, such as smart homes and smart cities, able to adapt themselves to the citizens needs. The interplay between ubiquitous computing and context-aware environments opened the door to the so-called smart health paradigm, focused on the provision of added-value personalised health services by meaningfully exploiting vast amounts of health, mobility and contextual data. However, the management of health data, from their gathering to their analysis, arises a number of challenging issues due to their highly confidential nature. In particular, this dissertation addresses several security and privacy challenges within the smart health paradigm. The results of this dissertation are intended to help the research community to enhance the security of the intelligent environments of the future as well as the privacy of the citizens regarding their personal and health data.
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