Analysis of user’s abnormal behavior based on behavior sequence in enterprise network

Haichao Guan, Huakang Li, Guozi Sun*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

There are many abnormal user behavior in the enterprise network environment, how to monitor it effectively is a hot research hotspot. At present, the analysis of abnormal behavior is mainly through the means of traffic monitoring, but there is no precise definition and related research on the behavior of enterprise network users. Therefore, the paper propose a model to analyze the abnormal behavior of enterprise network users. First, the data from the monitoring log of enterprise network should be pre-processing and the user behavior are serializing; then, for each user behavior sequence in sequence databases, calculating the user behavior similarity and correlation coefficient in a week by the improved algorithm; finally, comparing the similarity and the correlation coefficient between users and finding the user abnormal behavior. In this paper, we use the model to verify the feasibility of the internal network of the company, and find out the user’s abnormal behavior.

Original languageEnglish
Title of host publicationCloud Computing and Security - 3rd International Conference, ICCCS 2017, Revised Selected Papers
EditorsXingming Sun, Xingang You, Han-Chieh Chao, Elisa Bertino
PublisherSpringer Verlag
Pages531-541
Number of pages11
ISBN (Print)9783319685045
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event3rd International Conference on Cloud Computing and Security, ICCCS 2017 - Nanjing, China
Duration: 16 Jun 201718 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10602 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Cloud Computing and Security, ICCCS 2017
Country/TerritoryChina
CityNanjing
Period16/06/1718/06/17

Keywords

  • Abnormal behavior analysis
  • Behavior sequence
  • Behavior similarity

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