Design and Implementation of an Anomaly Detector

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This paper describes the design and implementation of a general-purpose anomaly detector for streaming data. Based on a survey of similar work from the literature, a basic anomaly detector builds a model on normal data, compares this model to incoming data, and uses a threshold to determine when the incoming data represent an anomaly. Models compactly represent the data but still allow for effective comparison. Comparison methods determine the distance between two models of data or the distance between a model and a point. Threshold selection is a largely neglected problem in the literature, but the current implementation includes two ... continued below

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PDF-file: 25 pages; size: 0.5 Mbytes

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Bagherjeiran, A; Cantu-Paz, E & Kamath, C July 11, 2005.

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Description

This paper describes the design and implementation of a general-purpose anomaly detector for streaming data. Based on a survey of similar work from the literature, a basic anomaly detector builds a model on normal data, compares this model to incoming data, and uses a threshold to determine when the incoming data represent an anomaly. Models compactly represent the data but still allow for effective comparison. Comparison methods determine the distance between two models of data or the distance between a model and a point. Threshold selection is a largely neglected problem in the literature, but the current implementation includes two methods to estimate thresholds from normal data. With these components, a user can construct a variety of anomaly detection schemes. The implementation contains several methods from the literature. Three separate experiments tested the performance of the components on two well-known and one completely artificial dataset. The results indicate that the implementation works and can reproduce results from previous experiments.

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PDF-file: 25 pages; size: 0.5 Mbytes

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  • Report No.: UCRL-TR-213599
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/891727 | External Link
  • Office of Scientific & Technical Information Report Number: 891727
  • Archival Resource Key: ark:/67531/metadc881904

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • July 11, 2005

Added to The UNT Digital Library

  • Sept. 21, 2016, 2:29 a.m.

Description Last Updated

  • Nov. 23, 2016, 2:42 p.m.

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Bagherjeiran, A; Cantu-Paz, E & Kamath, C. Design and Implementation of an Anomaly Detector, report, July 11, 2005; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc881904/: accessed April 19, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.