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A Secure Distributed e-Health System for the Management of Personal Health Metrics Data

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Book cover Advanced Information Networking and Applications (AINA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1151))

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Abstract

The definition of smart city as a broad concept values the versatile acquisition, storage, and processing of relevant data for the city’s community. In this context, health data occupies a privileged place. The reliable gathering of personal health information has become recently possible through wearable medical devices. These devices usually do not store the data locally and offer, in the most favourable case, limited basic data processing features, and virtually no advanced processing capabilities for the collected personal health data. This paper describes an integrated distributed e-Health system, which collects health data from the enrolled city residents, and allows secure storage and processing of medical data in cloud by using a comprehensive encryption model to preserve the data privacy, which is based on the NTRU public-key cryptosystem. The system collects the user data through a client application module that is installed on the user’s smartphone or smartwatch, and securely transports it to the cloud backend. The homomorphic processing of the encrypted data is performed using the Apache Spark service. The event-based handlers are triggered by the IBM OpenWhisk programming service. The prototype has been tested using a real-world use case, which involves five hundred residents of Brasov City, Romania.

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Author information

Authors and Affiliations

  1. Transilvania University of Brasov, Brasov, Romania

    Razvan Bocu

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  1. Razvan Bocu
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Correspondence to Razvan Bocu .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania “Luigi Vanvitelli”, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Bocu, R. (2020). A Secure Distributed e-Health System for the Management of Personal Health Metrics Data. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_4

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