• DocumentCode
    2445445
  • Title

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

  • Author

    Garcia-Morchon, Oscar ; Wehrle, Klaus

  • Author_Institution
    Distrib. Sensor Syst., Philips Res. Eur., Eindhoven, Netherlands
  • fYear
    2010
  • fDate
    March 29 2010-April 2 2010
  • Firstpage
    322
  • Lastpage
    327
  • 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.
  • Keywords
    access control; body sensor networks; health care; patient monitoring; caregivers; health state monitoring; hospitals; medical data; modular context-aware access control; pervasive health monitoring; pervasive medical sensor networks; privacy; pro-active decision making; wireless medical sensors; Access control; Biomedical monitoring; Context awareness; Context modeling; Data privacy; Decision making; Hospitals; Safety; Sensor phenomena and characterization; Wireless sensor networks; access control; medical sensor networks; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010 8th IEEE International Conference on
  • Conference_Location
    Mannheim
  • Print_ISBN
    978-1-4244-6605-4
  • Electronic_ISBN
    978-1-4244-6606-1
  • Type

    conf

  • DOI
    10.1109/PERCOMW.2010.5470649
  • Filename
    5470649