Efficient and context-aware access control for pervasive medical sensor networks

Abstract

Medical sensor networks allow for pervasive health monitoring in hospitals, at home, or on the way. Each user carries a set of wireless medical sensors that allows caregivers to monitor his health state. The privacy and confidentiality of medical data need to be guaranteed at any moment to make sure that third parties cannot access confidential information. Additionally, the system also has to be aware of context changes, such as emergencies, to ensure fast access to the medical data, and thus, the safety of the users. In this context, this paper presents a modular context-aware access control model to allow for context-awareness and pro-active decision making during acute, emergency, and normal medical situations. We analyze its structure, features, and operation in detail and further describe how our system can be applied to existing security architectures for medical sensor networks.

Understanding Security Requirements and Challenges in Internet of Things (IoT): A Review

“…In [66] the authors have analyzed the proposed protocol ECoSec (Efficient Cooperative Security Protocol) operation and parameters for node agreement that is performed for admission voting and revocation information. Other work done in handling such issues by context awareness and intelligence can be found in [67] [68]. In [69] the authors discussed resilience management in IoT.…”

Envisioning secure and usable access control for patients

“…A patient's control could be extended with the right to manage roles attributed to the healthcare professionals in healthcare institutions, of course in limited, well-defined situations. For example, access can be granted to substitute general practitioners or, for example, to allow doctors that happen to be around and help the patient in some urgent, first-aid situation [33].…”

Security and Privacy Issues in Ehealthcare Systems: Towards Trusted Services

“…G. Morchon and K. Wehrle in [31] present a modular access control system for pervasive healthcare applications. The system extends the traditional RBAC model for two main issues: Firstly, to assign and distribute access control policies to sensor nodes.…”

“…Three different types of context-data were considered in this model. The Environmental context refers to location or time, the Personal information context regarding age, status, or medical record and finally, the current medical data such as Heart rate or blood pressure [31].…”