@inproceedings{23086,
   author = {Jirsík, Tomáš and Čermák, Milan and Čeleda, Pavel},
   address = {USA},
   booktitle = {2016 6th International Conference on IT Convergence and Security (ICITCS)},
   keywords = {Top N statistics; network traffic; analysis; host; identification},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {USA},
   isbn = {978-1-5090-3764-3},
   pages = {255-259},
   publisher = {Institute of Electrical and Electronic Engineers},
   title = {On Information Value of Top N Statistics},
   year = {2016}
}

TY  - JOUR
ID  - 23086
AU  - Jirsík, Tomáš - Čermák, Milan - Čeleda, Pavel
PY  - 2016
TI  - On Information Value of Top N Statistics
PB  - Institute of Electrical and Electronic Engineers
CY  - USA
SN  - 9781509037643
KW  - Top N statistics
KW  - network traffic
KW  - analysis
KW  - host
KW  - identification
N2  - In the era of Internet of Things (IoT), the volume of the monitored data from IoT network is enormous. However, not all data provide sufficient or relevant information. Since the analysis of big data is both resource and time exhausting, only relevant information should be analysed. In this paper, we scrutinize the widely used Top N statistics and evaluate its information value with respect to gathering information about individual hosts in the network. All theoretical discussions are evaluated on the real-world data. Moreover, we provide an assessment of statistic's suitability for identifying a host in network traffic. The results of the paper should assist data analyst of IoT network data.
ER  - 

JIRSÍK, Tomáš, Milan ČERMÁK a Pavel ČELEDA. On Information Value of Top N Statistics. In \textit{2016 6th International Conference on IT Convergence and Security (ICITCS)}. USA: Institute of Electrical and Electronic Engineers, 2016, s.~255-259. ISBN~978-1-5090-3764-3.