A Taxonomy for Contrasting Industrial Control Systems Asset Discovery Tools

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dc.contributor.authorSamanis, Manolis
dc.date.accessioned2024-05-04T13:08:02Z
dc.date.available2024-05-04T13:08:02Z
dc.date.issued2022-11-24T17:33:43Z
dc.description.abstractThe number of tools for scanning industrial assets has grown considerably over the past decade. There is currently a plethora of free and commercial asset scanning tools which specialize in industrial control system (ICS) devices. However, to the best of our knowledge, there is no information pertaining to their actual capabilities and no experimental comparative comparison of their features. Moreover, it is not clear to what depth of scanning these tools can reach and whether the tools are suitable to use in a scaled industrial network architecture. This poster provides the first systematic features comparison available on free to use asset scanning tools, on the basis of an ICS scanning taxonomy we propose. Based on the taxonomy, we investigate tools scanning depth and validate results through experimentation on Siemens and Allen Bradley devices.
dc.description.sponsorshipAirbus
dc.identifier.citationSamanis, Manolis (2022). A Taxonomy for Contrasting Industrial Control Systems Asset Discovery Tools. Cranfield Online Research Data (CORD). Poster. https://doi.org/10.17862/cranfield.rd.21618573.v1
dc.identifier.doi10.17862/cranfield.rd.21618573.v1
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/21351
dc.publisherCranfield University
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAsset scanning
dc.subjectIndustrial control systems
dc.subjectSCADA
dc.subjectDSDS22
dc.subjectDSDS22 Poster
dc.titleA Taxonomy for Contrasting Industrial Control Systems Asset Discovery Tools
dc.typePoster

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