In information and communication technology with the rapid advancements in the world, crimes committed are becoming technically intensive. When crimes committed use digital devices, forensic examiners have to adopt practical frameworks and methods to recover data for analysis which can pose as evidence. Data Generation, Data Warehousing and Data Mining, are the three essential features involved in the investigation process. - 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 proposes a unique way of generating, storing and analyzing data, retrieved from digital devices which pose as evidence in forensic analysis. A statistical approach is used in validating the reliability of the pre-processed data. And also 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.
Digital Forensic, Framework, Data Preprocessing, Daubert process.
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THE INTERNATIONAL JOURNAL OF FORENSIC COMPUTER SCIENCE - IJoFCS
Volume 7, Number 1, pages 42-50, DOI: 10.5769/J201201004 or http://dx.doi.org/10.5769/J201201004
Data Base Forensics of Mobile Phone
By Roshan Thakur, Khyati Chourasia, and Bhupendra Thakur
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