摘要：The Daubert process used in the admissibility of evidence contains major guidelines
applied in assessing forensic procedures, two of which are testing and error rates. The
Digital Forensic Science (DFS) community is growing and the error rates for the forensic
tools need to be continuously re-evaluated as the technology changes. This becomes
more difficult in the case of mobile phone forensics, because they are proprietary. This
paper discusses a database driven approach that could be used to store data about the
mobile phone evidence acquisition testing process. This data can then be used to
calculate tool error rates, which can be published and used to validate or invalidate the
mobile phone acquisition tools.
