IDEAS home Printed from https://ideas.repec.org/a/spr/grdene/v13y2004i2d10.1023_bgrup.0000021838.66662.0c.html
   My bibliography  Save this article

Criminal Identity Deception and Deception Detection in Law Enforcement

Author

Listed:
  • Gang Wang

    (University of Arizona)

  • Hsinchun Chen

    (University of Arizona)

  • Homa Atabakhsh

    (University of Arizona)

Abstract

Criminals often falsify their identities intentionally in order to deter police investigations. In this paper we focus on uncovering patterns of criminal identity deception observed through a case study performed at a local law enforcement agency. We define criminal identity deception based on an understanding of the various theories of deception. We interview a police detective expert and discuss the characteristics of criminal identity deception. A taxonomy for criminal identity deception was built to represent the different patterns that were identified in the case study. We also discuss methods currently employed by law enforcement agencies to detect deception. Police database systems contain little information that can help reveal deceptive identities. Thus, in order to identify deception, police officers rely mainly on investigation. Current methods for detecting deceptive criminal identities are neither effective nor efficient. Therefore we propose an automated solution to help solve this problem.

Suggested Citation

  • Gang Wang & Hsinchun Chen & Homa Atabakhsh, 2004. "Criminal Identity Deception and Deception Detection in Law Enforcement," Group Decision and Negotiation, Springer, vol. 13(2), pages 111-127, March.
    • Handle: RePEc:spr:grdene:v:13:y:2004:i:2:d:10.1023_b:grup.0000021838.66662.0c
    DOI: 10.1023/B:GRUP.0000021838.66662.0c
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/B:GRUP.0000021838.66662.0c
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/B:GRUP.0000021838.66662.0c?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:grdene:v:13:y:2004:i:2:d:10.1023_b:grup.0000021838.66662.0c. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.