Comparative Analysis of DNS over HTTPS Detectors

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU151372" target="_blank" >RIV/00216305:26230/24:PU151372 - isvavai.cz</a>
Alternative codes found
RIV/63839172:_____/24:10133680
Result on the web
<a href="https://doi.org/10.1016/j.comnet.2024.110452" target="_blank" >https://doi.org/10.1016/j.comnet.2024.110452</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.comnet.2024.110452" target="_blank" >10.1016/j.comnet.2024.110452</a>

Result language
angličtina
Original language name
Comparative Analysis of DNS over HTTPS Detectors
Original language description
DNS over HTTPS (DoH) is a protocol that encrypts DNS traffic to improve user privacy and security. However, its use also poses challenges for network operators and security analysts who need to detect and monitor network traffic for security purposes. Therefore, there are multiple DoH detection proposals that leverage machine learning to identify DoH connections; however, these proposals were often tested on different datasets, and their evaluation methodologies were not consistent enough to allow direct performance comparison. We recreated seven DoH detection proposals and evaluated them using six different experiments to answer research questions that targeted specific deployment scenarios concerning ML-model transferability, usability, and longevity. For thorough testing, we used a large Collection of DoH datasets along with a novel 5-week dataset that enabled the evaluation of data drift. Our study provides insights into the current state of DoH detection techniques and can help network operators and security analysts choose the most suitable method for their specific needs.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/VJ02010024" target="_blank" >VJ02010024: Flow-based Encrypted Traffic Analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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