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An Empirical Investigation of the Ev...
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Parviz, Kevin.
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An Empirical Investigation of the Evidence Recovery Process in Digital Forensics.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
An Empirical Investigation of the Evidence Recovery Process in Digital Forensics./
作者:
Parviz, Kevin.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:
112 p.
附註:
Source: Dissertations Abstracts International, Volume: 84-02, Section: B.
Contained By:
Dissertations Abstracts International84-02B.
標題:
Computer science. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29261544
ISBN:
9798837537592
An Empirical Investigation of the Evidence Recovery Process in Digital Forensics.
Parviz, Kevin.
An Empirical Investigation of the Evidence Recovery Process in Digital Forensics.
- Ann Arbor : ProQuest Dissertations & Theses, 2022 - 112 p.
Source: Dissertations Abstracts International, Volume: 84-02, Section: B.
Thesis (Ph.D.)--Nova Southeastern University, 2022.
The widespread use of the digital media in committing crimes, and the steady increase of their storage capacity has created backlogs at digital forensic labs. The problem is exacerbated especially in high profile crimes. In many such cases the judicial proceedings mandate full analysis of the digital media, when doing so is rarely accomplished or practical. Prior studies have proposed different phases for forensic analysis, to lessen the backlog issues. However, these phases are not distinctly differentiated, and some proposed solutions may not be practical. This study utilized several past police forensic analyses. Each case was chosen for having five distinct forensic phases, complete with documented amount of time spent in each phase, along with the number and type of recovered evidence. Data from these cases were empirically analyzed using common descriptive statistical analyses along with linear regression. By using linear regression, we tested the factors that determine the number of recovered evidentiary artifacts. This study provides models by which future forensic analyses could be assessed. It presents distinctive boundaries for each forensics phase, thus eliminating ambiguity in the examination results, while assisting forensic examiners in determining the necessary depth of analysis.
ISBN: 9798837537592Subjects--Topical Terms:
523869
Computer science.
Subjects--Index Terms:
Backlogs
An Empirical Investigation of the Evidence Recovery Process in Digital Forensics.
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The widespread use of the digital media in committing crimes, and the steady increase of their storage capacity has created backlogs at digital forensic labs. The problem is exacerbated especially in high profile crimes. In many such cases the judicial proceedings mandate full analysis of the digital media, when doing so is rarely accomplished or practical. Prior studies have proposed different phases for forensic analysis, to lessen the backlog issues. However, these phases are not distinctly differentiated, and some proposed solutions may not be practical. This study utilized several past police forensic analyses. Each case was chosen for having five distinct forensic phases, complete with documented amount of time spent in each phase, along with the number and type of recovered evidence. Data from these cases were empirically analyzed using common descriptive statistical analyses along with linear regression. By using linear regression, we tested the factors that determine the number of recovered evidentiary artifacts. This study provides models by which future forensic analyses could be assessed. It presents distinctive boundaries for each forensics phase, thus eliminating ambiguity in the examination results, while assisting forensic examiners in determining the necessary depth of analysis.
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