Detailed Information on Publication Record

@inproceedings{29526,
   author = {Laštovička, Martin and Dufka, Antonín and Komárková, Jana},
   address = {Limassol, Cyprus},
   booktitle = {Proceedings of the 14th International Wireless Communications and Mobile Computing Conference},
   keywords = {Machine Learning; OS Fingerprinting; IPFIX; Cybersecurity},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Limassol, Cyprus},
   isbn = {978-1-5386-2070-0},
   pages = {542-547},
   publisher = {IEEE Xplore Digital Library},
   title = {Machine Learning Fingerprinting Methods in Cyber Security Domain: Which one to Use?},
   url = {https://ieeexplore.ieee.org/abstract/document/8450406},
   year = {2018}
}

TY  - JOUR
ID  - 29526
AU  - Laštovička, Martin - Dufka, Antonín - Komárková, Jana
PY  - 2018
TI  - Machine Learning Fingerprinting Methods in Cyber Security Domain: Which one to Use?
PB  - IEEE Xplore Digital Library
CY  - Limassol, Cyprus
SN  - 9781538620700
KW  - Machine Learning
KW  - OS Fingerprinting
KW  - IPFIX
KW  - Cybersecurity
UR  - https://ieeexplore.ieee.org/abstract/document/8450406
N2  - 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.
ER  - 

LAŠTOVIČKA, Martin, Antonín DUFKA and Jana KOMÁRKOVÁ. Machine Learning Fingerprinting Methods in Cyber Security Domain: Which one to Use?. Online. In \textit{Proceedings of the 14th International Wireless Communications and Mobile Computing Conference}. Limassol, Cyprus: IEEE Xplore Digital Library, 2018, p.~542-547. ISBN~978-1-5386-2070-0.