X_myKarve: fragmented JPEG image and thumbnail carver
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
IGI Publishing Hershey
2016
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/8583/ |
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| Summary: | 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. |
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