Secure Remote Health Monitoring with Unreliable Mobile Devices.

As the nation's healthcare information infrastructure continues to evolve, new technologies promise to provide readily accessible health information that can help people address personal and community health concerns. In particular, wearable and implantable medical sensors and portable computing dev...

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Publicado en:Journal of Biomedicine & Biotechnology Vol. 2012; pp. 1 - 6
Autor principal: Minho Shin
Formato: pictorial tables/charts Journal Article
Publicado: Wiley-Blackwell 2012
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2012
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        atl: Secure Remote Health Monitoring with Unreliable Mobile Devices.
      aug:
        au: Minho Shin
        affil: Myongji University, Yongin, Gyeonggi-do 449-728, Republic of Korea
      sug:
        subj:
          Electronic Health Records
          Data Security
          Monitoring, Physiologic Methods
          Wireless Communications
          Privacy and Confidentiality
          Quality Control (Technology)
      ab: As the nation's healthcare information infrastructure continues to evolve, new technologies promise to provide readily accessible health information that can help people address personal and community health concerns. In particular, wearable and implantable medical sensors and portable computing devices present many opportunities for providing timely health information to health providers, public health professionals, and consumers. Concerns about privacy and information quality, however, may impede the development and deployment of these technologies for remote health monitoring. Patients may fail to apply sensors correctly, device can be stolen or compromised (exposing the medical data therein to a malicious party), low-cost sensors controlled by a capable attacker might generate falsified data, and sensor data sent to the server can be captured in the air by an eavesdropper; there are many opportunities for sensitive health data to be lost, forged, or exposed. In this paper, we design a framework for secure remote health-monitoring systems; we build a realistic risk model for sensor-data quality and propose a new health-monitoring architecture that is secure despite the weaknesses of common personal devices. For evaluation, we plan to implement a proof of concept for secure health monitoring.
      pubtype: Academic Journal
      doctype:
        pictorial
        tables/charts
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      ougenre: Article
    language: English
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