D 2016

On Information Value of Top N Statistics

JIRSÍK, Tomáš; Milan ČERMÁK and Pavel ČELEDA

Basic 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

000388730200058

EID Scopus

2-s2.0-85006320227

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.
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