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SLAMorris Final Thesis After Corrections.pdf - Cranfield University

SLAMorris Final Thesis After Corrections.pdf - Cranfield University

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information available about single fragment identification; particularly in cases<br />

where the fragment classification was based solely on the information within the<br />

fragment. This suggested that an existing method for the identification of larger<br />

chunks of data had to be selected and adapted for single fragment<br />

identification.<br />

If a single method was selected and adapted then the research would be<br />

evaluating the ability of the adapted method to identify thumbnail cache file<br />

fragment. Therefore a comparative study was selected to attempt to maximise<br />

the identification of thumbnail cache file fragments. The study provided an<br />

opportunity to evaluate a variety of adapted methods on different thumbnail<br />

cache structures; this highlighted the strengths and weaknesses of using each<br />

approach.<br />

The results of this research on data sets 1, 2provided 100% identification of<br />

fragments in H1 and H2 with no false positives using the structural and<br />

syntactical approach; H3 produced the least accurate results with a high rate of<br />

false positives and negatives. The evaluation of file fragment identification<br />

methods produced inaccurate results when identifying fragments which solely<br />

contained JPEG data; this is partly due to the fact it is difficult to distinguish<br />

between a JPEG fragment which belongs to the thumbnail cache and a JPEG<br />

fragment which belongs to any other file. For this research it was decided that it<br />

would be best to ensure all the JPEG fragments from the thumbnail cache were<br />

identified; whilst attempting to minimise the false positives; this proved difficult<br />

and most JPEG fragments were classified as thumbnail cache image<br />

fragments. Therefore further research is required into methods of identifying<br />

JPEG fragments in order to improve the accuracy of their carving.<br />

The tables of results in Section 7.10 show the actual fragment classification<br />

against the classification given to the fragment by each method for Data sets 1<br />

Page<br />

199

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