Artifact: Defining and Analyzing Smart Device Passive Mode

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dc.contributor.authorBadolato, Christian
dc.contributor.authorKullman, Kaur
dc.contributor.authorPapadakis, Nikolaos
dc.contributor.authorBhatt, Manav
dc.contributor.authorBouloukakis, Georgios
dc.contributor.authorEngel, Don
dc.contributor.authorYus, Roberto
dc.date.accessioned2025-04-23T20:31:05Z
dc.date.available2025-04-23T20:31:05Z
dc.date.issued2025-03-17
dc.description23rd International Conference on Pervasive Computing and Communications (PerCom 2025), Mar 2025, Washington DC, United States
dc.description.abstractThis artifact paper presents a guide for the Smart Home IoT Passive Mode Analysis tool and dataset to perform network traffic analysis (NTA) on smart home IoT devices in passive mode. The repository includes: 1) scripts and configurations for processing network traffic capture files and extracting the relevant information; 2) output data files for the experiments conducted; and 3) a link to the raw network capture dataset. The dataset contains 12GB of passive mode traffic from 32 devices across 3 testbeds; between 71 and 196 hours of traffic is present for each device.
dc.description.urihttps://inria.hal.science/hal-05001580
dc.format.extent3 pages
dc.genreconference papers and proceedings
dc.identifierdoi:10.13016/m2zpwa-fl9v
dc.identifier.citationBadolato, Christian, Kaur Kullman, Nikolaos Papadakis, Manav Bhatt, Georgios Bouloukakis, Don Engel, and Roberto Yus. “Artifact: Defining and Analyzing Smart Device Passive Mode.” Paper presented at The 23rd International Conference on Pervasive Computing and Communications (PerCom 2025), Washington D.C., March 17-21, 2025. https://inria.hal.science/hal-05001580.
dc.identifier.urihttp://hdl.handle.net/11603/38018
dc.language.isoen_US
dc.publisherHAL
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Center for Women in Technology (CWIT)
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Office for the Vice President of Research
dc.relation.ispartofUMBC Physics Department
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.en
dc.subjectUMBC Ebiquity Research Group
dc.subjectThe dates of his B.S. and M.S. degree listed on his ORCid match those listed on his LinkedIn: https://www.linkedin.com/in/christianbadolato/, and ResearchGate: https://www.researchgate.net/profile/Christian-Badolato
dc.titleArtifact: Defining and Analyzing Smart Device Passive Mode
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-2684-4562
dcterms.creatorhttps://orcid.org/0000-0001-9480-0583
dcterms.creatorhttps://orcid.org/0000-0003-2838-0140
dcterms.creatorhttps://orcid.org/0000-0002-9311-954X

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