2nd International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Integrity Checker for Wireless Sensor Networks in Health Care Applications

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2528,
        author={Annarita Giani and Tanya Roosta and Shankar Sastry},
        title={Integrity Checker for Wireless Sensor Networks in Health Care Applications},
        proceedings={2nd International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2008},
        month={7},
        keywords={Biomedical monitoring Computer networks Cryptography Intrusion detection Medical services Robustness Sensor phenomena and characterization Sensor systems and applications Wearable sensors Wireless sensor networks},
        doi={10.4108/ICST.PERVASIVEHEALTH2008.2528}
    }
    
  • Annarita Giani
    Tanya Roosta
    Shankar Sastry
    Year: 2008
    Integrity Checker for Wireless Sensor Networks in Health Care Applications
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2528
Annarita Giani1,*, Tanya Roosta1,*, Shankar Sastry1,*
  • 1: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA. 94720
*Contact email: agiani@eecs.berkeley.edu, roosta@eecs.berkeley.edu, sastry@eecs.berkeley.edu

Abstract

Wireless sensor networks (WSN) for health care systems are used to transmit large amount of data collected from several physiological and environmental sensors. Because the information regarding the health of an individual is highly sensitive, it must be kept private and secure. It is of paramount importance to defend the network against any illegal access, as well as malicious insertion of data that would alter the integrity of the entire system. In this paper, we propose solutions to ensure robustness, integrity, and privacy of sensor networks in health care systems. In addition, we define new metrics for determining the integrity of the sensory data. These metrics are defined based on specific characteristics of the health care systems.