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Analysis of a Bluetooth Traffic Dataset Obtained during University Examination Sessions

Author

Listed:
  • 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)

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.

Suggested Citation

  • Radu Bouaru & Adrian Peculea & Bogdan Iancu & Sorin Buzura & Emil Cebuc & Vasile Dadarlat, 2024. "Analysis of a Bluetooth Traffic Dataset Obtained during University Examination Sessions," Data, MDPI, vol. 9(4), pages 1-11, March.
    • Handle: RePEc:gam:jdataj:v:9:y:2024:i:4:p:49-:d:1367404
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