Web Users Clustering by their Behaviour on the Network

被引：2
|
作者：
Turcanik, Michal [1 ]
机构：
[1] Armed Forces Acad Gen MR Stefanik, Dept Informat, Liptovsky Mikulas, Slovakia
来源：
PROCEEDINGS OF THE 2020 CONFERENCE ON NEW TRENDS IN SIGNAL PROCESSING (NTSP) | 2020年
关键词：
web users clustering; web access log; cyber security;
D O I：
10.1109/ntsp49686.2020.9229548
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Aim of this paper is to analyse possibility of cluster users of a selected network on the base of their browsing behaviour. Source of information is web access log file which consist of all the important information. Paper presents idea of pre-processing of information from a web access log file and it also presents K-means clustering algorithm used for identification of user groups on the base of their behaviour on the internet. Presented methodology can be used in the area of cyber defence also for other tasks.
引用
收藏
页码：121 / 125
页数：5
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