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Privacy-Enabled Mobile-Health (mHealth)-Based Diabetic Solution

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SmartData

Abstract

Diabetes is one of the leading chronic diseases affecting the lives of millions globally and early detection and treatment of this disease can serve to improve the quality of life for patients as well as suspend further health complications arising from diabetes. Continuous Glucose Monitors (CGM) and Insulin Pumps (IP) have been widely deployed to monitor the sugar levels in the blood stream and inject appropriate amounts of insulin to compensate for the underperforming pancreas functions of the patients’ bodies and thereby may provide appropriate treatment solutions for many diabetic sufferers. With the invention and deployment of Smartphones, the quality and performance associated with treating diabetes has reached new heights, however the privacy and security of mobile-based diabetic systems remain in ongoing challenges. This paper aims to focus on the privacy and security challenges of Mobile-Health (mHealth)-based Diabetic solutions.

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Author information

Authors and Affiliations

  1. RMIT University, Melbourne, Victoria, Australia

    Sasan Adibi, Nilmini Wickramasinghe, Caroline Chan & Soumitri Varadarajan

  2. Office of the Information and Privacy Commissioner of Ontario, Toronto, ON, Canada

    Rozita Dara

  3. Epworth HealthCare, Richmond, Victoria, Australia

    Nilmini Wickramasinghe

Authors
  1. Sasan Adibi
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  2. Rozita Dara
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  3. Nilmini Wickramasinghe
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  4. Caroline Chan
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  5. Soumitri Varadarajan
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Corresponding author

Correspondence to Sasan Adibi .

Editor information

Editors and Affiliations

  1. , School of Informatics, University of Sussex, Sussex House, Brighton, BN1 9QJ, United Kingdom

    Inman Harvey

  2. Privacy Commissioner of Ontario, Office of the Information and, Bloor Street, Toronto, M4W 1A8, Ontario, Canada

    Ann Cavoukian

  3. , Identity, Privacy and Security Initiativ, University of Toronto, King's College Circle, Toronto, M5S 3G4, Ontario, Canada

    George Tomko

  4. , Department of Medicine, University of Toronto, King's College Circle, Toronto, M5S 3G4, Ontario, Canada

    Don Borrett

  5. , Department of Neurophysiology, University of Toronto, King's College Circle, Toronto, M5S 3G4, Ontario, Canada

    Hon Kwan

  6. , Electrical and Computer Engineering, University of Toronto, King's College Circle, Toronto, M5S 3G4, Ontario, Canada

    Dimitrios Hatzinakos

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Adibi, S., Dara, R., Wickramasinghe, N., Chan, C., Varadarajan, S. (2013). Privacy-Enabled Mobile-Health (mHealth)-Based Diabetic Solution. In: Harvey, I., Cavoukian, A., Tomko, G., Borrett, D., Kwan, H., Hatzinakos, D. (eds) SmartData. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6409-9_18

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  • DOI: https://doi.org/10.1007/978-1-4614-6409-9_18

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6408-2

  • Online ISBN: 978-1-4614-6409-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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