The SERUMS tool-chain : ensuring security and privacy of medical data in smart patient-centric healthcare systems
MetadataShow full item record
Future-generation healthcare systems will be highly distributed, combining centralised hospital systems with decentralised home-, work- and environment-based monitoring and diagnostics systems. These will reduce costs and injury-related risks whilst both improving quality of service, and reducing the response time for diagnostics and treatments made available to patients. To make this vision possible, medical data must be accessed and shared over a variety of mediums including untrusted networks. In this paper, we present the design and initial implementation of the SERUMS tool-chain for accessing, storing, communicating and analysing highly confidential medical data in a safe, secure and privacy-preserving way. In addition, we describe a data fabrication framework for generating large volumes of synthetic but realistic data, that is used in the design and evaluation of the tool-chain. We demonstrate the present version of our technique on a use case derived from the Edinburgh Cancer Centre, NHSLothian, where information about the effects of chemotherapy treatments on cancer patients is collected from different distributed databases, analysed and adapted to improve ongoing treatments.
Janjic , V , Kuster Filipe Bowles , J , Vermeulen , A F , Silvina , A , Belk , M , Fidas , C , Pitsillides , A , Kumar , M , Rossborry , M , Vinov , M , Given-Wilson , T , Legay , A , Blackledge , E , Arredouani , R , Stylianou , G & Huang , W 2020 , The SERUMS tool-chain : ensuring security and privacy of medical data in smart patient-centric healthcare systems . in Proceedings 2019 IEEE International Conference on Big Data . , 9005600 , IEEE International Conference on Big Data , IEEE Computer Society , pp. 2726-2735 , IEEE Big Data 2019 , Los Angeles , United States , 9/12/19 . https://doi.org/10.1109/BigData47090.2019.9005600conference
Proceedings 2019 IEEE International Conference on Big Data
Copyright © 2020 IEEE. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1109/BigData47090.2019.9005600
DescriptionFunding: EU H2020 project Serums: Securing Medical Data in Smart Patient-Centric Healthcare Systems (grant code: 826278).
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.