Badolato, ChristianKullman, KaurPapadakis, NikolaosBhatt, ManavBouloukakis, GeorgiosEngel, DonYus, Roberto2025-04-232025-04-232025-03-17Badolato, 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.http://hdl.handle.net/11603/3801823rd International Conference on Pervasive Computing and Communications (PerCom 2025), Mar 2025, Washington DC, United StatesThis 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.3 pagesen-USAttribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/deed.enUMBC Ebiquity Research GroupThe 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-BadolatoText