|
"Probability Model on Digital Evidence
Interpretation." The proliferation of computer crime has driven the need
for the analysis of digital evidence. As forensic science has long been
used to resolve legal disputes regarding different branches of science,
digital forensics is developed naturally in the aspects of cyber or
digital crimes. Similar to other forensics taxonomies, digital forensics
involves the formulating of hypotheses that are based on available evidence
or facts and the assessment of their likelihood that support or refute
the hypotheses. However, there is a lack of scientific approach or methodology
today on the analysis of digital evidence and hence draw conclusions
for the digital forensics examination. Without reliable and scientific
analytical models, computer forensics analysts are facing the challenges
of unjustified forensics conclusions or that their findings are speculations
without well-grounded scientific support. In this talk, Michael will
demonstrate the impact of this problem and his research work on this
area. |