Journal article

BARTO© Václav. Detekce anomálií v datech o sí»ovém provozu. Trilobit. 2012, vol. 2012, no. 2, pp. 1-6. ISSN 1804-1795. Available from: http://trilobit.fai.utb.cz/detekce-anomalii-v-datech-o-sitovem-provozu
Publication language:czech
Original title:Detekce anomálií v datech o sí»ovém provozu
Title (en):Anomaly Detection in Network Traffic Data
Pages:1-6
Place:CZ
Year:2012
URL:http://trilobit.fai.utb.cz/detekce-anomalii-v-datech-o-sitovem-provozu
Journal:Trilobit, Vol. 2012, No. 2, CZ
ISSN:1804-1795
Keywords
network security, anomaly detection, framework, NetFlow
Annotation
The work deals with anomaly detection in network traffic. Some practical problems of research in this area are discussed and a set of tools designed to solve these problems is presented. There is also presented an idea of moving detection algorithms into flow exporters and possibilities of author's future research and goals of his PhD. thesis are discussed.
BibTeX:
@ARTICLE{
   author = {V{\'{a}}clav Barto{\v{s}}},
   title = {Detekce anom{\'{a}}li{\'{i}} v datech o
	s{\'{i}}{\v{t}}ov{\'{e}}m provozu},
   pages = {1--6},
   journal = {Trilobit},
   volume = {2012},
   number = {2},
   year = {2012},
   ISSN = {1804-1795},
   language = {czech},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=10220}
}

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