Unevenly Spaced Time Series from Network Traffic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F23%3A10133636" target="_blank" >RIV/63839172:_____/23:10133636 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/23:00367332
Result on the web
<a href="https://ieeexplore.ieee.org/document/10198988" target="_blank" >https://ieeexplore.ieee.org/document/10198988</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/TMA58422.2023.10198988" target="_blank" >10.23919/TMA58422.2023.10198988</a>
Alternative languages
Result language
angličtina
Original language name
Unevenly Spaced Time Series from Network Traffic
Original language description
Reliable detection of security events is essential for network security. Therefore, a suitable traffic representation and model are required. Contrary to the currently used approaches, this paper presents Unevenly Spaced Time Series (USTS) as a feasible representation of network traffic with several brilliant benefits for analysis. The article concerns several types of USTS. A dataset captured on a real ISP network was created to evaluate the properties of USTS. The dataset contains over 35 million time series. We experimentaly proved the USTS is suitable for network traffic analysis and allow automatic processing, e.g., to classify network traffic.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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)
Result continuities
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)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 7th Network Traffic Measurement and Analysis Conference
ISBN
978-3-903176-58-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
Neuveden
Event location
Napoli, Italy
Event date
Jun 26, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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