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SLAMorris Final Thesis After Corrections.pdf - Cranfield University

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7.3.1 Statistical Methods<br />

If document fragments can be identified as belonging to the same file it is<br />

possible to reassemble them using statistical modelling based upon the<br />

expected context of the file [Shanmugasundaram, 2003]. The fragments are<br />

added to a graph with the probability of adjacency to other fragments being<br />

calculated and used as weights; the reassembled document is therefore<br />

equivalent to picking the sequence of fragments with the highest probability of<br />

being a structurally and syntactically valid file. Currently this is possible only for<br />

files where all the fragments are available, making it useful in cases where the<br />

directory structure is missing, but would not provide assistance reassembling<br />

incomplete files. This algorithm can currently only find a solution when it is given<br />

an input that consists solely of fragments from the file to be reassembled<br />

[Memon, 2006]; it is unclear how fragments could be sorted into individual files<br />

during an investigation to provide the necessary input. This research was<br />

conducted by looking at a variety of file types including logs and binary files.<br />

This implied the authors wanted to determine the effects of carving multiple file<br />

types that may be relevant to an investigation rather than just focusing on a<br />

specific structure such as OLE2 or jpeg.<br />

Fragmentation of a file occurs when it is not possible to store the file in<br />

contiguous sectors, such as when storing a large file. A fragment may be part of<br />

a fragmented file or as little as a single cluster recovered from unallocated<br />

space. Research has suggested that file fragmentation is not present on all<br />

drives that an analyst would come across [Garfinkel, 2007]; this is in line with<br />

the fact that different users have different needs from their computers and are<br />

therefore likely to store varying amounts of information.<br />

Garfinkel [2007] collected a series of hard drives from places such as eBay and<br />

whilst examining them found that from the 51 NTFS file systems he examined<br />

approximately 12.2% of files were in at least 2 fragments, with 6.6% being in 5<br />

Page<br />

162

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