• DocumentCode
    665657
  • Title

    Redeye Text Analysis Workbench: Actionable intelligence from non-actionable data

  • Author

    McKenzie, Amber ; Gillen, Rob ; Logasa Bogen, Paul

  • Author_Institution
    Comput. Data Analytics Group, Oak Ridge Nat. Lab., Oak Ridge, TN, USA
  • fYear
    2013
  • fDate
    12-14 Nov. 2013
  • Firstpage
    381
  • Lastpage
    385
  • Abstract
    With the increase in digital data within the realm of law enforcement digital forensics comes significant challenges in the form of data discovery and analysis. The Redeye Text Analysis Workbench, produced by Oak Ridge National Laboratory, seeks to bridge the gap between existing data acquisition and higher-level data analysis systems in which forensic analysts must currently manually identify pertinent and relevant documents from possibly many terabytes of data that can then be used as input for further examination. The Redeye toolkit comprises two separate components: an ingestion pipeline and the workbench interface. Both of these components incorporate a number of tools - open source, proprietary, and custom-built - which have been integrated together to transcend the tools themselves. The final application is a means to facilitate the discovery of interesting, useful data within a digital forensics investigation.
  • Keywords
    data analysis; digital forensics; legislation; text analysis; Oak Ridge National Laboratory; Redeye toolkit; actionable intelligence; data acquisition; data analysis; data discovery; digital data; digital forensics investigation; forensic analysts; ingestion pipeline; law enforcement digital forensics; nonactionable data; redeye text analysis workbench; relevant documents; workbench interface; Databases; Digital forensics; Law enforcement; Libraries; Pipelines; Text analysis; digital forensics; redeye; text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies for Homeland Security (HST), 2013 IEEE International Conference on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4799-3963-3
  • Type

    conf

  • DOI
    10.1109/THS.2013.6699034
  • Filename
    6699034