Přehled o publikaci
2016
On Information Value of Top N Statistics
JIRSÍK, Tomáš; Milan ČERMÁK and Pavel ČELEDABasic information
Original name
On Information Value of Top N Statistics
Authors
JIRSÍK, Tomáš; Milan ČERMÁK and Pavel ČELEDA
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
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"
Marked to be transferred to RIV
Yes
RIV identification code
RIV/00216224:14610/16:00087623
Organization
Ústav výpočetní techniky – Repository – Repository
ISBN
978-1-5090-3764-3
UT WoS
EID Scopus
Keywords in English
Top N statistics; network traffic; analysis; host; identification
Links
TA04010062, research and development project.
Changed: 3/9/2020 06:25, RNDr. Daniel Jakubík
Abstract
In the original language
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.
