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Title:Avtomatizirano skeniranje brezžičnih iot omrežij in identificiranje iot naprav : diplomsko delo
Authors:ID Plazl, Anže (Author)
ID Hölbl, Marko (Mentor) More about this mentor... New window
Files:.pdf VS_Plazl_Anze_2025.pdf (1,29 MB)
MD5: BB77D51AA28EAE490D1AF8BD16BCD127
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Skeniranje brezžičnih omrežij, se je razvilo iz začetnega entuziastičnega kartiranja brezžičnih omrežij v kompleksno dejavnost z različnimi nameni in metodami. Z razmahom interneta stvari je ta pristop dobil nov pomen, saj se pojavlja potreba po odkrivanju in kartiranju vedno večjega števila brezžičnih naprav. V diplomskem delu smo razvili namensko mobilno rešitev za zajem in analizo ZigBee naprav, ki so pogosto prisotne v IoT infrastrukturi. Sistem temelji na prilagojeni strojni opremi, ki združuje prenosljivost, energetsko učinkovitost in zmožnost zaznavanja ZigBee signala na terenu. Delovanje sistema smo preizkusili v realnem okolju, kjer smo preverili njegovo zanesljivost pri zaznavanju ZigBee naprav ter kakovost zajetih podatkov. V delu tako predstavljamo prispevek k razvoju orodij za varnostno analizo IoT okolij ter ponuja osnovo za nadaljnji razvoj rešitev za terensko zaznavanje brezžičnih naprav.
Keywords:ZigBee omrežje, brezžična omrežja, IoT naprave, zaznavanje naprav, kartiranje omrežij
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Plazl]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (VIII, 45 str.))
PID:20.500.12556/DKUM-93615 New window
UDC:004.77(043.2)
COBISS.SI-ID:245911043 New window
Publication date in DKUM:13.08.2025
Views:217
Downloads:37
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.
Licensing start date:07.07.2025

Secondary language

Language:English
Title:Automated iot wardriving and device identification
Abstract:Wardriving has evolved from an initially enthusiastic effort to map wireless networks into a complex activity with various goals and methodologies. With the rise of the IoT, this approach has gained new relevance, as there is a growing need to detect and map an increasing number of wireless devices. In this work, we developed a dedicated mobile solution for capturing and analysing ZigBee devices, which are commonly found in IoT infrastructures. The system is based on customised hardware that combines portability, energy efficiency, and the ability to detect ZigBee signals in the field. The system was tested in a real-world environment to evaluate its reliability in detecting ZigBee devices and the quality of the collected data. This work contributes to the development of tools for the security analysis of IoT environments and provides a foundation for further advancements in field-based wireless device detection.
Keywords:ZigBee network, wireless networks, IoT devices, device detection, network mapping


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