TY  - JOUR
T1  - Mobile Block Hash Filtering Based on Irrelevant Data
AU - Hasheem, Yusoof Mohammed AU - Mohamad, Kamaruddi Malik AU - Elmi, Ahmad Nur AU - Naseem, Rashid 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 3
SP  - 390
EP  - 394
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.390.394
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.390.394
KW  - Mobile forensics
KW  -triage examination
KW  -Decode
KW  -Lifter
KW  -M_Triage
AB  - 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.
ER  -