Sensors for Context-Aware Smart Healthcare: A Security Perspective

Sensors

Pablo López-Aguilar¹  Antoni Martínez-Ballesté²  Edgar Batista²  M. Angels Moncusi²  Agusti Solanas² 

[1] Anti-Phishing Working Group EU, Av. Diagonal 621–629, 08028 Barcelona, Spain;Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain;

关键词: smart healthcare;    context-aware environments;    user-centric sensors;    contextual sensors;    Internet of Medical Things;    wireless body area networks;   

DOI  :  10.3390/s21206886

来源: DOAJ

【 摘 要 】

The advances in the miniaturisation of electronic devices and the deployment of cheaper and faster data networks have propelled environments augmented with contextual and real-time information, such as smart homes and smart cities. These context-aware environments have opened the door to numerous opportunities for providing added-value, accurate and personalised services to citizens. In particular, smart healthcare, regarded as the natural evolution of electronic health and mobile health, contributes to enhance medical services and people’s welfare, while shortening waiting times and decreasing healthcare expenditure. However, the large number, variety and complexity of devices and systems involved in smart health systems involve a number of challenging considerations to be considered, particularly from security and privacy perspectives. To this aim, this article provides a thorough technical review on the deployment of secure smart health services, ranging from the very collection of sensors data (either related to the medical conditions of individuals or to their immediate context), the transmission of these data through wireless communication networks, to the final storage and analysis of such information in the appropriate health information systems. As a result, we provide practitioners with a comprehensive overview of the existing vulnerabilities and solutions in the technical side of smart healthcare.

【 授权许可】

Unknown