UMBC Researchers Win Best Artifact Award at PerCom 2025 for Smart Home IoT Study
The UMBC Department of Computer Science and Electrical Engineering (CSEE) is proud to announce that the paper "Your Smart Home Exchanged 3M Messages: Defining and Analyzing Smart Device Passive Mode" has won the Best Artifact Paper Award at the IEEE International Conference on Pervasive Computing and Communications (PerCom) 2025.
Authored by Christian Badolato, Kaur Kullman, Manav Bhatt, Don Engel, and Roberto Yus (University of Maryland, Baltimore County) along with Nikolaos Papadakis and Georgios Bouloukakis (Télécom SudParis, Institut Polytechnique de Paris), the paper examines smart home IoT devices while not in active use. The research sheds light on passive-mode network activity, revealing that smart home devices exchange millions of messages even when idle.
This award underscores the team’s commitment to verifiable and reproducible research. Their dataset and methodology underwent rigorous review, ensuring transparency and reliability. Their dataset, as well as custom datasets of your own, can be analyzed using the paper’s methods through the scripts at the Smart Home IoT Passive Mode Analysis GitHub repository (https://github.com/DAMSlabUMBC/Passive-Mode-Study).
In addition to this recognition, there was even more representation from UMBC CSEE’s DAMS Lab at PerCom 2025. Saisricharan Malkireddy, Sumedh Kane, Sourimitra Medepalli, Satvik Racharla, and Bharg Barot (undergraduate and MS students from our department) gave an amazing presentation of the demo paper "LOADS: LiDAR-based Privacy-Preserving Queue Monitoring and Analysis", co-authored with Christian Badolato and Roberto Yus. The team was seen running around the conference with their LiDAR-based sensor, measuring queue lengths at lunch, registration, and even during the one-minute madness session!
Authored by Christian Badolato, Kaur Kullman, Manav Bhatt, Don Engel, and Roberto Yus (University of Maryland, Baltimore County) along with Nikolaos Papadakis and Georgios Bouloukakis (Télécom SudParis, Institut Polytechnique de Paris), the paper examines smart home IoT devices while not in active use. The research sheds light on passive-mode network activity, revealing that smart home devices exchange millions of messages even when idle.
This award underscores the team’s commitment to verifiable and reproducible research. Their dataset and methodology underwent rigorous review, ensuring transparency and reliability. Their dataset, as well as custom datasets of your own, can be analyzed using the paper’s methods through the scripts at the Smart Home IoT Passive Mode Analysis GitHub repository (https://github.com/DAMSlabUMBC/Passive-Mode-Study).
In addition to this recognition, there was even more representation from UMBC CSEE’s DAMS Lab at PerCom 2025. Saisricharan Malkireddy, Sumedh Kane, Sourimitra Medepalli, Satvik Racharla, and Bharg Barot (undergraduate and MS students from our department) gave an amazing presentation of the demo paper "LOADS: LiDAR-based Privacy-Preserving Queue Monitoring and Analysis", co-authored with Christian Badolato and Roberto Yus. The team was seen running around the conference with their LiDAR-based sensor, measuring queue lengths at lunch, registration, and even during the one-minute madness session!
Posted: April 2, 2025, 11:02 AM
