Detection System for Passive Network Eavesdropping

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10257313" target="_blank" >RIV/61989100:27240/24:10257313 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Detection System for Passive Network Eavesdropping
Original language description
Eavesdropping on computer networks poses significant risks, including theft of personal data, unauthorized access, and user tracking. Passive eavesdropping is particularly challenging to detect and often becomes evident only after data misuse. This paper highlights the inherent risks of data traffic eavesdropping and introduces a method to detect passive eavesdropping in Wi-Fi networks. The proposed detection method analyzes user behavior through the traffic patterns generated that are integrated into an automatically configured server platform. The server infrastructure was designed to closely mimic real user traffic. Experimental verification demonstrated the system's effectiveness in identifying instances of passive eavesdropping. This significantly improves the security of Wi-Fi networks.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2024 15th IFIP Wireless and Mobile Networking Conference, WMNC 2024
ISBN
978-3-903176-68-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
41-46
Publisher name
IEEE
Place of publication
Piscataway
Event location
Benátky
Event date
Nov 11, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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