A statistical threat detection method based on dynamic time threshold

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

2 Scopus citations

Abstract

With the rapid development of Web technology, security attacks are growing day by day. It is difficult but important to detect these threats, especially the statistical type like brute force. This paper proposes a statistical threat detection method based on dynamic time threshold. Firstly, the study constructs the framework of collecting and preprocessing the massive log. Then threat detecting method with dynamic time threshold based on MapReduce framework is presented.

Original languageEnglish
Title of host publication2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1087-1090
Number of pages4
ISBN (Electronic)9781467390262
DOIs
StatePublished - 10 May 2017
Externally publishedYes
Event2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Chengdu, China
Duration: 14 Oct 201617 Oct 2016

Publication series

Name2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings

Conference

Conference2nd IEEE International Conference on Computer and Communications, ICCC 2016
Country/TerritoryChina
CityChengdu
Period14/10/1617/10/16

Keywords

  • Dynamic threshold
  • MapReduce
  • Threat detection
  • Web log

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