Authors : Yusoof Mohammed Hasheem, Kamaruddi Malik Mohamad, Ahmad Nur Elmi and Rashid Naseem
Abstract: 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.
Yusoof Mohammed Hasheem, Kamaruddi Malik Mohamad, Ahmad Nur Elmi and Rashid Naseem, 2016. Mobile Block Hash Filtering Based on Irrelevant Data. Journal of Engineering and Applied Sciences, 11: 390-394.