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Mobile Block Hash Filtering Based on Irrelevant Data

机译：基于无关数据的移动块散列过滤

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Mobile forensics is an exciting new field of research. An increasing number of open source and commercial digital forensics tools are focusing on extracting accurate results. There is a major issues affecting some mobile forensics tools that enable the tools to extract high number of false positive result during triage examination. This research is focusing on reducing the high number of false positive result generated by Decode. The 66MB data set has been used in the experimenting which is obtained from DFRWS 2010 and five mobile forensics tool have been used for the experiments by comparing their precision, recall and fmeasure performance. The proposed M_Triage tool has successfully scaled down 75% of performing accurately on the 66MB file obtained from DFRWS 2010 as compared to Decode, Lifter, XRY and Xaver. Thus, M_Triage tool is more accurate than Decode, Lifter, XRY and Xaver in avoiding the extraction of high number of false positive result.
机译：移动取证是一个令人兴奋的新研究领域。 越来越多的开源和商业数字取证工具专注于提取准确的结果。 有一个主要问题影响了一些移动取证工具，使工具能够在分类检查期间提取大量误报结果。 该研究专注于减少解码产生的大量误阳性结果。 66MB数据集已用于从DFRWS 2010获得的实验中，并且通过比较它们的精确度，召回和粉碎性能来使用五个移动取证工具。 建议的M_Triage工具已成功缩放到从DFRWS 2010获取的66MB文件中准确地执行的75％，而解码，升降机，XRY和XAVER相比。 因此，M_Triage工具比解码，升降机，XRY和XAVER更加准确，避免提取大量误报结果。

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