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Content Provider | IEEE Xplore Digital Library |
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Author | Lee, R. Sheau-Dong Lang Stenger, K. |
Copyright Year | 2009 |
Description | Author affiliation: School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, 32816, USA (Lee, R.; Sheau-Dong Lang) || Orange County Sheriff's Office, Computer Crimes Squad, Orlando, 32804, USA (Stenger, K.) |
Abstract | Computer (digital) forensic examiners typically write a report to document the examination process, including tools used, major processing steps, summary of the findings, and a detailed listing of relevant evidence (files, artifacts) exported to external media (CD, DVD, hard copy) for the case investigator or attorney. However, proper interpretation of the significance of extracted evidence often requires additional consultation with the examiner. This paper proposes a practical methodology for transforming the findings in typical forensic reports to a graphical representation using Bayesian networks (BNs). BNs offer the following advantages: (1) Delineate the cause-effect relationship among relevant pieces of evidence described in the report; and (2) Use probability and established Bayesian inference rules to deal with uncertainty of digital evidence. A realistic forensic report is used to demonstrate this methodology. |
Starting Page | 303 |
Ending Page | 306 |
File Size | 72653 |
Page Count | 4 |
File Format | |
ISBN | 9781424441716 |
DOI | 10.1109/ISI.2009.5137330 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-06-08 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | digital forensics Uncertainty Digital forensics digital evidence Computer crime Computer science DVD Bayesian methods Hidden Markov models Motion pictures Computer networks Bayesian networks forensic report computer forensics Testing |
Content Type | Text |
Resource Type | Article |
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