Analysis of a Bluetooth Traffic Dataset Obtained during University Examination Sessions

Radu Bouaru, Adrian Peculea (), Bogdan Iancu, Sorin Buzura, Emil Cebuc and Vasile Dadarlat
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Radu Bouaru: Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania
Adrian Peculea: Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania
Bogdan Iancu: Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania
Sorin Buzura: Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania
Emil Cebuc: Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania
Vasile Dadarlat: Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania

Data, 2024, vol. 9, issue 4, 1-11

Abstract: In academic environments, students take exams simultaneously in campus examination classrooms. Due to recent advancements in technology, examination rooms are flooded with Bluetooth data traffic generated by personal devices (smartphones, smartwatches, etc.). The work presented in this article proposes a method for collecting Bluetooth traffic in an academic examination setting. The desired data were collected during several examination sessions using an Ubertooth One device, and then an in-depth post-processing analysis was performed on the collected dataset. The devices generating traffic were precisely located within the examination room, and areas with heightened data traffic were highlighted. Additionally, another goal of the current research was to provide a unique type of dataset to the academic community, facilitating its utilization in further research endeavors.

Keywords: Bluetooth; dataset; Ubertooth One (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2024
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