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dc.contributor.authorWill, Mark A.en_NZ
dc.contributor.authorKo, Ryan K.L.en_NZ
dc.coverage.spatialSydney, AUSTRALIAen_NZ
dc.date.accessioned2018-05-27T23:26:42Z
dc.date.available2017-01-01en_NZ
dc.date.available2018-05-27T23:26:42Z
dc.date.issued2017en_NZ
dc.identifier.citationWill, M. A., & Ko, R. K. L. (2017). Secure FPGA as a Service - Towards Secure Data Processing by Physicalizing the Cloud. In Proceedings of 2017 IEEE Trustcom/BigDataSE/ICESS (pp. 449–455). Washington, DC, USA: IEEE. https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.270en
dc.identifier.issn2324-9013en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/11867
dc.description.abstractSecurely processing data in the cloud is still a difficult problem, even with homomorphic encryption and other privacy preserving schemes. Hardware solutions provide additional layers of security and greater performance over their software alternatives. However by definition the cloud should be flexible and adaptive, often viewed as abstracting services from products. By creating services reliant on custom hardware, the core essence of the cloud is lost. FPGAs bridge this gap between software and hardware with programmable logic, allowing the cloud to remain abstract. FPGA as a Service (FaaS) has been proposed for a greener cloud, but not for secure data processing. This paper explores the possibility of Secure FaaS in the cloud for privacy preserving data processing, describes the technologies required, identifies use cases, and highlights potential challenges.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEEen_NZ
dc.rights© 2017 IEEE. Personal use of this material is permitted. This is the author's accepted version. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
dc.source16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications / The 11th IEEE International Conference on Big Data Science and Engineering / The 14th IEEE International Conference on Embedded Software and Systemsen_NZ
dc.subjectScience & Technologyen_NZ
dc.subjectTechnologyen_NZ
dc.subjectComputer Science, Information Systemsen_NZ
dc.subjectComputer Science, Theory & Methodsen_NZ
dc.subjectComputer Scienceen_NZ
dc.subjectSecure Processingen_NZ
dc.subjectPrivacy Preserving Data Processingen_NZ
dc.subjectFPGA as a Serviceen_NZ
dc.subjectHomomorphic Encryptionen_NZ
dc.subjectGreen Computingen_NZ
dc.subjectSecure Multi-Party Computationen_NZ
dc.subjectFULLY HOMOMORPHIC ENCRYPTIONen_NZ
dc.subjectUNCLONABLE FUNCTIONSen_NZ
dc.subjectHARDWARE IMPLEMENTATIONSen_NZ
dc.titleSecure FPGA as a Service - Towards Secure Data Processing by Physicalizing the Clouden_NZ
dc.typeConference Contribution
dc.identifier.doi10.1109/Trustcom/BigDataSE/ICESS.2017.270en_NZ
dc.relation.isPartOfProceedings of 2017 IEEE Trustcom/BigDataSE/ICESSen_NZ
pubs.begin-page449
pubs.elements-id200989
pubs.end-page455
pubs.finish-date2017-08-04en_NZ
pubs.organisational-group/Waikato
pubs.organisational-group/Waikato/2018 PBRF
pubs.organisational-group/Waikato/FCMS
pubs.organisational-group/Waikato/FCMS/2018 PBRF - FCMS
pubs.organisational-group/Waikato/FCMS/Computer Science
pubs.place-of-publicationWashington, DC, USA
pubs.publication-statusPublisheden_NZ
pubs.start-date2017-08-01en_NZ


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