Enhanced Timeline Analysis for Digital Forensic Investigations.

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Bibliographic Details
Title: Enhanced Timeline Analysis for Digital Forensic Investigations.
Authors: Inglot, Bartosz, Liu, Lu
Source: Information Security Journal: A Global Perspective; 2014, Vol. 23 Issue 1/2, p32-44, 13p
Subject Terms: FORENSIC sciences, FORENSIC surveying, COMPUTER storage devices, INFORMATION retrieval, BACK up systems
Abstract: Forensic analysis is the science of collecting, examining, and presenting evidence in order to support or refute a hypothesis. With the increasing size of storage devices and growing popularity of digital hand-held devices connecting to the Internet, performing an effective digital forensic investigation is becoming more challenging to investigators. In this article, we evaluate the existing tools of timeline analysis and identify the need for a solid timeline analysis tool. For this reason, the article studies an existing but discontinued project called Zeitline, presents its features and shortcomings, and develops new capabilities to overcome these limitations. A case study is then presented in which the application’s functionality is tested. [ABSTRACT FROM AUTHOR]
Copyright of Information Security Journal: A Global Perspective is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: Enhanced Timeline Analysis for Digital Forensic Investigations.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Inglot%2C+Bartosz%22">Inglot, Bartosz</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Lu%22">Liu, Lu</searchLink>
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  Data: Information Security Journal: A Global Perspective; 2014, Vol. 23 Issue 1/2, p32-44, 13p
– Name: Subject
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  Group: Su
  Data: <searchLink fieldCode="DE" term="%22FORENSIC+sciences%22">FORENSIC sciences</searchLink><br /><searchLink fieldCode="DE" term="%22FORENSIC+surveying%22">FORENSIC surveying</searchLink><br /><searchLink fieldCode="DE" term="%22COMPUTER+storage+devices%22">COMPUTER storage devices</searchLink><br /><searchLink fieldCode="DE" term="%22INFORMATION+retrieval%22">INFORMATION retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22BACK+up+systems%22">BACK up systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Forensic analysis is the science of collecting, examining, and presenting evidence in order to support or refute a hypothesis. With the increasing size of storage devices and growing popularity of digital hand-held devices connecting to the Internet, performing an effective digital forensic investigation is becoming more challenging to investigators. In this article, we evaluate the existing tools of timeline analysis and identify the need for a solid timeline analysis tool. For this reason, the article studies an existing but discontinued project called Zeitline, presents its features and shortcomings, and develops new capabilities to overcome these limitations. A case study is then presented in which the application’s functionality is tested. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Information Security Journal: A Global Perspective is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/19393555.2014.897401
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      – Code: eng
        Text: English
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        PageCount: 13
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      – SubjectFull: FORENSIC sciences
        Type: general
      – SubjectFull: FORENSIC surveying
        Type: general
      – SubjectFull: COMPUTER storage devices
        Type: general
      – SubjectFull: INFORMATION retrieval
        Type: general
      – SubjectFull: BACK up systems
        Type: general
    Titles:
      – TitleFull: Enhanced Timeline Analysis for Digital Forensic Investigations.
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            NameFull: Liu, Lu
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              Text: 2014
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