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Addressing the Security Challenges of Big Data Analytics in Healthcare Research
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作者 Mohamed Sami Rakha Lucas Lapczyk +1 位作者 Costa Dafnas Patrick Martin 《International Journal of Communications, Network and System Sciences》 2022年第8期111-125,共15页
Big data and associated analytics have the potential to revolutionize healthcare through the tools and techniques they offer to manage and exploit the large volumes of heterogeneous data being collected in the healthc... Big data and associated analytics have the potential to revolutionize healthcare through the tools and techniques they offer to manage and exploit the large volumes of heterogeneous data being collected in the healthcare domain. The strict security and privacy constraints on this data, however, pose a major obstacle to the successful use of these tools and techniques. The paper first describes the security challenges associated with big data analytics in healthcare research from a unique perspective based on the big data analytics pipeline. The paper then examines the use of data safe havens as an approach to addressing the security challenges and argues for the approach by providing a detailed introduction to the security mechanisms implemented in a novel data safe haven. The CIMVHR Data Safe Haven (CDSH) was developed to support research into the health and well-being of Canadian military, Veterans, and their families. The CDSH is shown to overcome the security challenges presented in the different stages of the big data analytics pipeline. 展开更多
关键词 Big data Analytics Pipeline SECURITY data Safe Haven CIMVHR Health data data Repository restricted data environment
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