JIRSÍK, Tomáš, Milan ČERMÁK and Pavel ČELEDA. On Information Value of Top N Statistics. In 2016 6th International Conference on IT Convergence and Security (ICITCS). USA: Institute of Electrical and Electronic Engineers, 2016, p. 255-259. ISBN 978-1-5090-3764-3.
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Basic information
Original name On Information Value of Top N Statistics
Authors JIRSÍK, Tomáš (203 Czech Republic, belonging to the institution), Milan ČERMÁK (203 Czech Republic, belonging to the institution) and Pavel ČELEDA (203 Czech Republic, belonging to the institution).
Edition USA, 2016 6th International Conference on IT Convergence and Security (ICITCS), p. 255-259, 5 pp. 2016.
Publisher Institute of Electrical and Electronic Engineers
Other information
Original language English
Type of outcome Proceedings paper
Field of Study Informatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14610/16:00087623
Organization Ústav výpočetní techniky – Repository – Repository
ISBN 978-1-5090-3764-3
UT WoS 000388730200058
Keywords in English Top N statistics; network traffic; analysis; host; identification
Links TA04010062, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 3/9/2020 06:25.
Abstract
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.
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