Artifact: Defining and Analyzing Smart Device Passive Mode

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.

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Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-03-17
DOI
https://doi.org/10.13016/m2zpwa-fl9v
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
0.00
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article

Artifact: Defining and Analyzing Smart Device Passive Mode

Manav Bhatt, Don Engel, Kaur Kullman, Georgios Bouloukakis et al.
Maryland Shared Open Access Repository (USMAI Consortium)
Internet Traffic Analysis and Secure E-voting
article

Artifact: Defining and Analyzing Smart Device Passive Mode

Manav Bhatt, Don Engel, Kaur Kullman, Georgios Bouloukakis, Roberto Yus, Christian Badolato, Nikolaos Papadakis
article en

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.

Maryland Shared Open Access Repository (USMAI Consortium)
Institut Polytechnique de Paris (FR), Département d'Informatique (FR), Télécom SudParis (FR), University of Maryland, Baltimore County (US)
Openalex Percentile: Top 81%
Internet Traffic Analysis and Secure E-voting
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Artifact: Defining and Analyzing Smart Device Passive Mode — Manav Bhatt, Don Engel, et al. · Maryland Shared Open Access Repository (USMAI Consortium) (2025) | TGRS Research Map | TGRS