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Mobile block hash filtering based on irrelevant data

Mohammed Hasheem, Yusoof and Mohamad, Kamaruddin Malik and Nur Elmi, Ahmad and Naseem, Rashid (2016) Mobile block hash filtering based on irrelevant data. Journal of Engineering and Applied Sciences, 11 (3). ISSN 1816949X

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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 Dec0de. 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 Dec0de, Lifter, XRY, and Xaver. Thus, M_Triage tool is more accurate than Dec0de, Lifter, XRY, and Xaver in avoiding the extraction of high number of false positive result.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Information Security
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 10 Oct 2017 06:16
Last Modified: 10 Oct 2017 06:16
URI: http://eprints.uthm.edu.my/id/eprint/8653
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