Title
From Digital Forensic Report To Bayesian Network Representation
Keywords
Bayesian networks; Computer forensics; Digital evidence; Digital forensics; Forensic report
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. ©2009 IEEE.
Publication Date
10-22-2009
Publication Title
2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Number of Pages
303-306
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ISI.2009.5137330
Copyright Status
Unknown
Socpus ID
70350046791 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/70350046791
STARS Citation
Lee, Robert; Lang, Sheau Dong; and Stenger, Kevin, "From Digital Forensic Report To Bayesian Network Representation" (2009). Scopus Export 2000s. 11562.
https://stars.library.ucf.edu/scopus2000/11562