Název: Využití bezdrátové komunikace pro lokalizaci: Za hranice fingerprintingu
Překlad názvu: Exploiting Wireless Communications for Localization: Beyond Fingerprinting
Autoři: Bravenec, Tomáš ; Sanchez, Maria Cristina Rodriguez (oponent) ; Crivello, Antonino (oponent) ; Moreira, Adriano (oponent) ; Orti, Enrique Quintana (oponent) ; Oliver, Sergi Trilles (oponent) ; Frýza, Tomáš (vedoucí práce)
Typ dokumentu: Disertační práce
Rok: 2023
Jazyk: eng
Nakladatel: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Abstrakt: The field of Location-based Services (LBS) has experienced significant growth over the past decade, driven by increasing interest in fitness tracking, robotics, and eHealth. This dissertation focuses on evaluating privacy measures in Indoor Positioning Systems (IPS), particularly in the context of ubiquitous Wi-Fi networks. It addresses non-cooperative user tracking through the exploitation of unencrypted Wi-Fi management frames, which contain enough information for device fingerprinting despite MAC address randomization. The research also explores an algorithm to estimate room occupancy based on passive Wi-Fi frame sniffing and Received Signal Strength Indicator (RSSI) measurements. Such room occupancy detection has implications for energy regulations in smart buildings. Furthermore, the thesis investigates methods to reduce computational requirements of machine learning and positioning algorithms through optimizing neural networks and employing interpolation techniques for IPS based on RSSI fingerprinting. The work contributes datasets, analysis scripts, and firmware to improve reproducibility and supports advancements in the LBS field.
Klíčová slova: 802.11; data analysis; indoor positioning; machine learning; memory optimization; occupancy estimation; presence detection; privacy; radio map interpolation; Wi-Fi; 802.11; data analysis; indoor positioning; machine learning; memory optimization; occupancy estimation; presence detection; privacy; radio map interpolation; Wi-Fi

Instituce: Vysoké učení technické v Brně (web)
Informace o dostupnosti dokumentu: Plný text je dostupný v Digitální knihovně VUT.
Původní záznam: https://hdl.handle.net/11012/244179

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-567303


Záznam je zařazen do těchto sbírek:
Školství > Veřejné vysoké školy > Vysoké učení technické v Brně
Vysokoškolské kvalifikační práce > Disertační práce