Artifact: Defining and Analyzing Smart Device Passive Mode

Files

ANetworkTrafficAnalysisofSmartHomeDevicesinPassiveMode.pdf (369.59 KB)

Links to Files

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

Permanent Link

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

Collections

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

Author/Creator

Badolato, Christian

Papadakis, Nikolaos

Bouloukakis, Georgios

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

Type of Work

conference papers and proceedings
preprints
Text

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.