Artifact: Defining and Analyzing Smart Device Passive Mode

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ANetworkTrafficAnalysisofSmartHomeDevicesinPassiveMode.pdf (369.59 KB)

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https://inria.hal.science/hal-05001580

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http://hdl.handle.net/11603/38018

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UMBC Faculty Collection
UMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)
UMBC Center for Women in Technology (CWIT)
UMBC Computer Science and Electrical Engineering Department
UMBC Office for the Vice President of Research & Creative Achievement (ORCA)
UMBC Physics Department
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Author/Creator

Author/Creator ORCID

https://orcid.org/0000-0003-2684-4562
 https://orcid.org/0000-0001-9480-0583
 https://orcid.org/0000-0003-2838-0140
 https://orcid.org/0000-0002-9311-954X

Date

2025-03-17

Type of Work

conference papers and proceedings
Text

Department

Program

Citation of Original Publication

Badolato, 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.

Rights

Attribution 4.0 International

Subjects

UMBC Ebiquity Research Group
The 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

Abstract

This 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.