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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Mobile Forensic Images and Videos Signature Pattern Matching using M-Aho-Corasick
Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070736
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 7, 2016.
Abstract: Mobile forensics is an exciting new field of research. An increasing number of Open source and commercial digital forensics tools are focusing on less time during digital forensic examination. There is a major issue affecting some mobile forensic tools that allow the tools to spend much time during the forensic examination. It is caused by implementation of poor file searching algorithms by some forensic tool developers. This research is focusing on reducing the time taken to search for a file by proposing a novel, multi-pattern signature matching algorithm called M-Aho-Corasick which is adapted from the original Aho-Corasick algorithm. Experiments are conducted on five different datasets which one of the data sets is obtained from Digital Forensic Research Workshop (DFRWS 2010). Comparisons are made between M-Aho-Corasick using M_Triage with Dec0de, Lifter, XRY, and Xaver. The result shows that M-Aho-Corasick using M_Triage has reduced the searching time by 75% as compared to Dec0de, 36% as compared to Lifter, 28% as compared to XRY, and 71% as compared to Xaver. Thus, M-Aho-Corasick using M_Triage tool is more efficient than Dec0de, Lifter, XRY, and Xaver in avoiding the extraction of high number of false positive results.
Keywords: mobile forensics; Images; Videos, M-Aho-Corasick; (File Signature Pattern Matching)
Yusoof Mohammed Hasheem, Kamaruddin Malik Mohamad, Ahmed Nur Elmi Abdi and Rashid Naseem, “Mobile Forensic Images and Videos Signature Pattern Matching using M-Aho-Corasick” International Journal of Advanced Computer Science and Applications(IJACSA), 7(7), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070736
@article{Hasheem2016,
title = {Mobile Forensic Images and Videos Signature Pattern Matching using M-Aho-Corasick},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070736},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070736},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {7},
author = {Yusoof Mohammed Hasheem and Kamaruddin Malik Mohamad and Ahmed Nur Elmi Abdi and Rashid Naseem}
}
