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dc.contributor.authorKo, Ryan K.L.
dc.contributor.authorWill, Mark Antony
dc.coverage.spatialAlaska, USA
dc.date.accessioned2014-12-17T02:22:40Z
dc.date.available2014
dc.date.available2014-12-17T02:22:40Z
dc.date.issued2014
dc.identifier.citationKo, R. K. L., & Will, M. A. (2014). Progger: an efficient, tamper-evident kernel-space logger for cloud data provenance tracking. In Proceedings of IEEE Seventh International Conference on Cloud Computing (pp. 881–889). Washington, DC, USA: IEEE. http://doi.org/10.1109/CLOUD.2014.121en
dc.identifier.urihttps://hdl.handle.net/10289/9018
dc.description.abstractCloud data provenance, or "what has happened to my data in the cloud", is a critical data security component which addresses pressing data accountability and data governance issues in cloud computing systems. In this paper, we present Progger (Provenance Logger), a kernel-space logger which potentially empowers all cloud stakeholders to trace their data. Logging from the kernel space empowers security analysts to collect provenance from the lowest possible atomic data actions, and enables several higher-level tools to be built for effective end-to-end tracking of data provenance. Within the last few years, there has been an increasing number of proposed kernel space provenance tools but they faced several critical data security and integrity problems. Some of these prior tools' limitations include (1) the inability to provide log tamper-evidence and prevention of fake/manual entries, (2) accurate and granular timestamp synchronisation across several machines, (3) log space requirements and growth, and (4) the efficient logging of root usage of the system. Progger has resolved all these critical issues, and as such, provides high assurance of data security and data activity audit. With this in mind, the paper will discuss these elements of high-assurance cloud data provenance, describe the design of Progger and its efficiency, and present compelling results which paves the way for Progger being a foundation tool used for data activity tracking across all cloud systems.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEE
dc.rightsThis is an author’s accepted version of an article published in the Proceedings of 2014 IEEE Seventh International Conference on Cloud Computing. © 2014 IEEE. Personal use of this material is permitted. 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.sourceCLOUD 2014
dc.titleProgger: an efficient, tamper-evident kernel-space logger for cloud data provenance tracking
dc.typeConference Contribution
dc.identifier.doi10.1109/CLOUD.2014.121
dc.relation.isPartOfProceedings of IEEE Seventh International Conference on Cloud Computing
pubs.begin-page881
pubs.elements-id85070
pubs.end-page889
pubs.finish-date2014-07-02
pubs.place-of-publicationWashington, DC, USA
pubs.start-date2014-06-27


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