Publication details

On Information Value of Top N Statistics

Authors

JIRSÍK Tomáš ČERMÁK Milan ČELEDA Pavel

Year of publication 2016
Type Article in Proceedings
Conference 2016 6th International Conference on IT Convergence and Security (ICITCS)
MU Faculty or unit

Institute of Computer Science

Citation
Doi http://dx.doi.org/10.1109/ICITCS.2016.7740357
Field Informatics
Keywords Top N statistics; network traffic; analysis; host; identification
Attached files
Description 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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