Secure and Scalable Key Value Storage for Managing Big Data in Smart Cities using Intel SGX

Marcell Feher, Daniel Enrique Lucani Rötter, Keiko Fonseca, Marcelo Rosa, Bogdan Despotov

    Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

    Abstract

    This paper advocates for the use of Intel SGX capable chips to deliver a secure and scalable architecture for Big Data processing in the cloud. The paper provides a novel Key-Value store service designed to use these new security capabilities as well as delivering a flexible mechanism to store hot, cold, and warm data using data replication, network coding, and hybrid mechanisms. We also describe various representative data streams from smart city sensors and applications gathered in Brazil used to tailor and guide our system design.

    Original languageEnglish
    Title of host publicationProceedings - 3rd IEEE International Conference on Smart Cloud, SmartCloud 2018 : SmartCloud 2018
    Number of pages7
    PublisherIEEE
    Publication date2018
    Pages70-76
    Article number8513718
    ISBN (Print)978-1-5386-8001-8
    ISBN (Electronic)978-1-5386-8000-1
    DOIs
    Publication statusPublished - 2018
    EventThe 3rd IEEE International Conference on Smart Cloud - New York
    Duration: 21 Sept 201823 Sept 2018

    Conference

    ConferenceThe 3rd IEEE International Conference on Smart Cloud
    CityNew York
    Period21/09/201823/09/2018

    Keywords

    • BigData processing
    • Intel SGX
    • Key-value store
    • Network coding
    • Secure processing
    • Smart city data

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