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X_myKarve: fragmented JPEG image and thumbnail carver

Abdullah, Nurul Azma and Mohamad, Kamaruddin Malik and Ibrahim, Rosziati and Mat Deris, Mustafa (2016) X_myKarve: fragmented JPEG image and thumbnail carver. International Journal of Digital Crime and Forensics (IJDCF), 8 (3).

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Many studies have been conducted in addressing problem of fragmented JPEG. However, carving fragmented JPEG files are not easy to solve due to the complexity of determining the fragmentation point. In this article, X_myKarve’s framework is introduced to address the fragmentation issues that occur in JPEG images. X_myKarve introduce a new technique, deletion by binary search to detect fragmentation point which is used to separate a file into several individual fragments. These fragments are then reassembled with the correct pairs which form a complete and correct image. X_myKarve is tested using standard datases namely DFRWS 2006. The result shows that X_myKarve is capable of carving over 20% more than myKarve and RevIt for DFRWS 2006 datasets where X_myKarve can carve intertwined fragmented JPEG images completely compared to myKarve and RevIt. X_myKarve is a good alternative for carving fragmented JPEG files intertwined with each other.

Item Type: Article
Uncontrolled Keywords: JPEG image; fragmentation handling; pattern matching; file carving; DFRWS 2006/07 carving challenge; binary search; thumbnail
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: 17 Jul 2017 03:39
Last Modified: 17 Jul 2017 03:39
URI: http://eprints.uthm.edu.my/id/eprint/8583
Statistic Details: View Download Statistic

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