Machine Learning Fingerprinting Methods in Cyber Security Domain: Which one to Use?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F18%3A00106888" target="_blank" >RIV/00216224:14610/18:00106888 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/8450406" target="_blank" >https://ieeexplore.ieee.org/abstract/document/8450406</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IWCMC.2018.8450406" target="_blank" >10.1109/IWCMC.2018.8450406</a>
Alternative languages
Result language
angličtina
Original language name
Machine Learning Fingerprinting Methods in Cyber Security Domain: Which one to Use?
Original language description
Identification of a communicating device operating system is a fundamental part of network situational awareness. However, current networks are large and change often which implies the need for a system that will be able to continuously monitor the network and handle changes in identified operating systems. The aim of this paper is to compare machine learning methods performance for OS fingerprinting on real-world data in the terms of processing time, memory requirements, and performance measures of accuracy, precision, and recall.
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/VI20172020070" target="_blank" >VI20172020070: Research of Tools for Cyber Situational Awareness and Decision Support of CSIRT Teams in Protection of Critical Infrastructure</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
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 14th International Wireless Communications and Mobile Computing Conference
ISBN
9781538620700
ISSN
2376-6492
e-ISSN
—
Number of pages
6
Pages from-to
542-547
Publisher name
IEEE Xplore Digital Library
Place of publication
Limassol, Cyprus
Event location
Limassol, Cyprus
Event date
Jan 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000447259500092