Publications

Selected Publications

• Rodrigues, B., Scheid, E. J., Willems, J., Tornow, M., Müller, K. O. E., & Stiller, B. (2022).
  Fusion Data Tracking System (FITS). IEEE Sensors Journal, 22(19), 19060–19072.
  Multi-layer sensor fusion system that enables robust, privacy-aware tracking by combining BLE, Wi-Fi, and passive RF signals—applied in smart environments and logistics.
• Müller, K. O. E., Datsomor, D., Schumm, D., Rodrigues, B., & Stiller, B. (2024).
  Big Brother is Watching You: Non-Intrusive ZigBee User Profiling. IFIP/IEEE CNSM 2024.
  Demonstrates how encrypted ZigBee sensor traffic can be passively analyzed to infer human presence and routines, highlighting privacy risks in IoT environments.
• Rodrigues, B., L. Muller, M. F. Franco, E. J. Scheid, C. Killer, & B. Stiller (2021).
  LaFlector: a Privacy-preserving LiDAR-based Approach for Accurate Indoor Tracking. IEEE LCN 2021.
  Introduces a novel indoor tracking method using LiDAR and sensor fusion, achieving high localization accuracy while mitigating privacy risks by using depth-only data.
• Ribeiro, R. H., Killer, C., Baumann, L., Figueredo Franco, M., Scheid, E. J., Rodrigues, B., & Stiller, B. (2021).
  ASIMOV: a Fully Passive WiFi Device Tracking. IFIP Networking 2021.
  Presents a passive Wi-Fi sensing framework for real-time device tracking without active probing, enabling scalable people counting in public spaces.
• Rodrigues, B., C. Halter, M. Franco, E. J. Scheid, C. Killer, & B. Stiller (2021).
  BluePIL: a Bluetooth-based PassIve Localization Method. IEEE/IFIP IM 2021.
  Proposes a passive Bluetooth-based localization technique, enabling fine-grained people tracking in indoor environments without user cooperation.

External Profiles