Abstract
While the conventional forensic scientists routinely validate and express the results of their investigations quantitatively using statistical measures from probability theory, digital forensics examiners rarely if ever do so. In this paper, we review some of the quantitative tools and techniques which are available for use in digital forensic investigations, including Bayesian networks, complexity theory, information theory and probability theory, and indicate how they may be used to obtain likelihood ratios or odds ratios for the relative plausibility of alternative explanations for the creation of the recovered digital evidence. The potential benefits of such quantitative measures for modern digital forensics are also outlined.
| Original language | English |
|---|---|
| Pages (from-to) | 1-4 |
| Number of pages | 4 |
| Journal | Journal of Harbin Institute of Technology (New Series) |
| Volume | 21 |
| Issue number | 6 |
| Publication status | Published - 1 Dec 2014 |
Keywords
- Bayesian network
- Complexity theory
- Information theory
- Likelihood ratio
- Odds ratio
- Power law statistics
- Probability theory