Detecting Dynamic Security Threats in Multi-Component IoT Systems

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dc.contributor.authorShrestha, Isaac
dc.contributor.authorHale, Matthew
dc.date.accessioned2019-01-03T00:57:19Z
dc.date.available2019-01-03T00:57:19Z
dc.date.issued2019-01-08
dc.description.abstractThe rising ubiquity of the Internet of Things (IoT) has heralded a new era of increasingly prolific and damaging IoT-centric security threat vectors. Fast-paced market demand for multi-featured IoT products urge companies, and their software engineers, to bring products to market quickly, often at the cost of security. Lack of proper security threat analysis tooling during development, testing, and release cycles exacerbate security concerns. In this paper, we augment a security threat analysis tool to use audit hooks, open-source information capture components, and machine learning techniques to profile dynamic wearable and IoT operations spanning multiple components during execution. Our tool encourages data-drive threat identification and analysis approaches that can help software engineers perform dynamic testing and threat analysis to mitigate code-level vulnerabilities that lead to attacks in IoT applications. Our approach is evaluated by means of a case study involving a system evaluation across several common attack vectors.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.858
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/60151
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCyber Threat Intelligence and Analytics
dc.subjectSoftware Technology
dc.subjectInternet of Things,Security,Threat Analysis,Vulnerabilities,Wearables,
dc.titleDetecting Dynamic Security Threats in Multi-Component IoT Systems
dc.typeConference Paper
dc.type.dcmiText

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