Insight from a Docker Container Introspection

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dc.contributor.authorWatts, Thomas
dc.contributor.authorBenton, Ryan G.
dc.contributor.authorGlisson, William Bradley
dc.contributor.authorShropshire, Jordan
dc.date.accessioned2021-09-22T18:18:34Z
dc.date.available2021-09-22T18:18:34Z
dc.date.issued2019-01
dc.descriptionArticle co-authored by William Glisson published in the Proceedings of the 52nd Hawaii International Conference on System Sciences in 2019.en_US
dc.description.abstractLarge-scale adoption of virtual containers has stimulated concerns by practitioners and academics about the viability of data acquisition and reliability due to the decreasing window to gather relevant data points. These concerns prompted the idea that introspection tools, which are able to acquire data from a system as it is running, can be utilized as both an early warning system to protect that system and as a data capture system that collects data that would be valuable from a digital forensic perspective. An exploratory case study was conducted utilizing a Docker engine and Prometheus as the introspection tool. The research contribution of this research is two-fold. First, it provides empirical support for the idea that introspection tools can be utilized to ascertain differences between pristine and infected containers. Second, it provides the ground work for future research conducting an analysis of large-scale containerized applications in a virtual cloud.en_US
dc.identifier.citationWatts, T., Benton, R., Glisson, W., & Shropshire, J. (2019). Insight from a Docker Container Introspection. Proceedings of the 52nd Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, p, 7194-7203. https://doi.org/10.24251/hicss.2019.863en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11875/3202
dc.subjectCyber Threat Intelligence and Analyticsen_US
dc.subjectSoftware Technologyen_US
dc.subjectCloud computing, Containers, Introspection, Dockeren_US
dc.titleInsight from a Docker Container Introspectionen_US
dc.typeArticleen_US

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