A performance study of anomaly detection using entropy method

A. A. Waskita, Heru Suhartanto, L. T. Handoko

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

5 Citations (Scopus)

Abstract

An experiment to study the entropy method for an anomaly detection system has been performed. The study has been conducted using real data generated from the distributed sensor networks at the Intel Berkeley Research Laboratory. The experimental results were compared with the elliptical method and has been analyzed in two dimensional data sets acquired from temperature and humidity sensors across 52 micro controllers. Using the binary classification to determine the upper and lower boundaries for each series of sensors, it has been shown that the entropy method are able to detect more number of out ranging sensor nodes than the elliptical methods. It can be argued that the better result was mainly due to the lack of elliptical approach which is requiring certain correlation between two sensor series, while in the entropy approach each sensor series is treated independently. This is very important in the current case where both sensor series are not correlated each other.

Original languageEnglish
Title of host publicationProceeding - 2016 International Conference on Computer, Control, Informatics and its Applications
Subtitle of host publicationRecent Progress in Computer, Control, and Informatics for Data Science, IC3INA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages137-140
Number of pages4
ISBN (Electronic)9781509023233
DOIs
Publication statusPublished - 23 Feb 2017
Event2016 International Conference on Computer, Control, Informatics and its Applications, IC3INA 2016 - Tangerang, Indonesia
Duration: 3 Oct 20165 Oct 2016

Publication series

NameProceeding - 2016 International Conference on Computer, Control, Informatics and its Applications: Recent Progress in Computer, Control, and Informatics for Data Science, IC3INA 2016

Conference

Conference2016 International Conference on Computer, Control, Informatics and its Applications, IC3INA 2016
Country/TerritoryIndonesia
CityTangerang
Period3/10/165/10/16

Keywords

  • anomaly detection
  • elliptical method
  • entropy method

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