A simple statistical analysis approach for intrusion detection system

A. A. Waskita, Heru Suhartanto, P. D. Persadha, L. T. Handoko

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

3 Citations (Scopus)

Abstract

A novel approach to analyze statistically the network traffic raw data is proposed. The huge amount of raw data of actual network traffic from the Intrusion Detection System is analyzed to determine if a traffic is a normal or harmful one. Using the active ports in each host in a network as sensors, the system continuously monitors the incoming packets, and generates its average behaviors at different time scales including its variances. The average region of behaviors at certain time scale is then being used as the baseline of normal traffic. Deploying the exhaustive search based decission system, the system detects the incoming threats to the whole network under supervision.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE Conference on Systems, Process and Control, ICSPC 2013
PublisherIEEE Computer Society
Pages193-197
Number of pages5
ISBN (Print)9781479922093
DOIs
Publication statusPublished - 1 Jan 2013
Event2013 IEEE Conference on Systems, Process and Control, ICSPC 2013 - Kuala Lumpur, Malaysia
Duration: 13 Dec 201315 Dec 2013

Publication series

NameProceedings - 2013 IEEE Conference on Systems, Process and Control, ICSPC 2013

Conference

Conference2013 IEEE Conference on Systems, Process and Control, ICSPC 2013
Country/TerritoryMalaysia
CityKuala Lumpur
Period13/12/1315/12/13

Keywords

  • exhaustive search
  • IDS
  • statistical approach

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