Abstract
The presence of the Internet of Things (IoT) in healthcare through the use of mobile medical applications and wearable devices allows patients to capture their healthcare data and enables healthcare professionals to be up-to-date with a patient’s status. Ambient Assisted Living (AAL), which is considered as one of the major applications of IoT, is a home environment augmented with embedded ambient sensors to help improve an individual’s quality of life. This domain faces major challenges in providing safety and security when accessing sensitive health data. This paper presents an access control framework for AAL which considers multi-level access and privacy preservation. We focus on two major points: (1) how to use the data collected from ambient sensors and biometric sensors to perform the high-level task of activity recognition; and (2) how to secure the collected private healthcare data via effective access control. We achieve multi-level access control by extending Public Key Infrastructure (PKI) for secure authentication and utilizing Attribute-Based Access Control (ABAC) for authorization. The proposed access control system regulates access to healthcare data by defining policy attributes over healthcare professional groups and data classes classifications. We provide guidelines to classify the data classes and healthcare professional groups and describe security policies to control access to the data classes.
Highlights
Ambient Assisted Living (AAL) is the system that integrates healthcare devices implemented by wireless technologies, such as Radio Frequency Identification (RFID) and sensor [1], to monitor the patient’s health status in healthcare applications
In this paper we propose a novel Internet of Things endowed multi-level access control framework to regulate access to sensitive personal health data in order to protect privacy in AAL systems
The proposed access control mechanism that was introduced is an attribute-based model which adheres to the dynamic nature of the healthcare organisation and has the flexibility to adapt to new access requirements
Summary
Ambient Assisted Living (AAL) is the system that integrates healthcare devices implemented by wireless technologies, such as Radio Frequency Identification (RFID) and sensor [1], to monitor the patient’s health status in healthcare applications. The emerging paradigm of Internet of Things (IoT) with AAL has been to put personal smart health systems into place. Such systems integrate ambient intelligence into our lives to create a smart environment by responding to people’s locations and behaviours astutely. The sensor-collected data could be stored as part of the personal health data of patients to improve the service provided by healthcare organizations and to provide health updates to the patient’s family members and friends.
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