Enhancing Security and Privacy of Next-Generation Edge Computing Technologies

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


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    The advent of high performance fog and edge computing and high bandwidth connectivity has brought about changes to Internet-of-Things (IoT) service architectures, allowing for greater quantities of high quality information to
    be extracted from their environments to be processed. However, recently introduced international regulations, along with heightened awareness among consumers, have strengthened requirements to ensure data security, with significant financial and reputational penalties for organisations who fail to protect customers’ data. This paper proposes the leveraging of fog and edge computing to facilitate processing of confidential user data, to reduce the quantity and availability of raw confidential data at various levels of the IoT architecture. This ultimately reduces attack surface area, however it also increases efficiency of the architecture by distributing processing amongst nodes and transmitting only processed data. However, such an approach
    is vulnerable to device level attacks. To approach this issue, a proposed System Security Manager is used to continuously monitor system resources and ensure confidential data is confined only to parts of the device that require it. In event of an attack, critical data can be isolated and the system informed, to prevent
    data confidentiality breach.
    Original languageEnglish
    Title of host publicationEnhancing Security and Privacy of Next-Generation Edge Computing Technologies
    Publication statusAccepted - Jun 2019
    EventPrivacy, Security and Trust - Fredericton Convention Centre, Fredericton, Canada
    Duration: 26 Aug 201928 Aug 2019
    Conference number: 17


    ConferencePrivacy, Security and Trust
    Abbreviated titlePST
    Internet address

      Research areas

    • Edge Computing, Cloud to Edge, Edge Security, IoT, Embedded Systems, Cyber Resilience, Security Micro-architecture, Data Protection, Active Security, GDPR

    Research outputs

    ID: 174957044