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Evaluating A Selection of Tools for Extraction of Forensic Data: Disk ...

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connected to the computer using a PI and the disk imaging tool will acquire the device<br />

by some command sets or protocols (NIST, 2005). In Figure 3.9, AM and PI combined<br />

will allow the disk imaging tool to run in an EE to acquire the DS. The DS will be<br />

stored in the DD. NIST (2005) refers the combination <strong>of</strong> AM and PI as Access<br />

Interface. For instance, a hard disk connects to the computer using a SATA PI and<br />

accesses the drive using the AM ATA command set. The disk imaging tool will run on<br />

top <strong>of</strong> the EE Micros<strong>of</strong>t Windows using some command sets or protocols and acquire<br />

the DS and save it into the DD <strong>of</strong> an external hard disk.<br />

The Digital Source scheme contains two major classifications that are<br />

nonvolatile data and volatile data. Nonvolatile data is the in<strong>for</strong>mation residing on a<br />

storage medium such as hard disk and the data will be retained in the medium even<br />

when the power is <strong>of</strong>f. Volatile data does not fall into the research scope there<strong>for</strong>e the<br />

sub-section will not be expanded to a detailed level. In the field <strong>of</strong> digital <strong>for</strong>ensics,<br />

investigators usually acquire the evidence in two ways: making a physical copy or a<br />

logical copy <strong>of</strong> the selected data. Making a physical copy <strong>of</strong> the evidence means every<br />

bit <strong>of</strong> the data in the storage medium will be read, acquired and stored as another copy<br />

in an external data destination (Refer to section 2.3 <strong>for</strong> more details). According to<br />

Guo & Slay (2010), physical copy can be divided into three common types which are<br />

magnetic, optical and semi-conductor. Optical and semi-conductor types are omitted<br />

because they do not fall in the scope <strong>of</strong> this research. Magnetic type can be further<br />

divided into two sub-categories, namely raw and structured. Category raw represents<br />

the data when it contains only data but nothing else. An example <strong>of</strong> the raw data could<br />

be DD raw image <strong>for</strong>mat. Category structured may contain other in<strong>for</strong>mation that<br />

might be useful <strong>for</strong> the <strong>for</strong>ensic investigators such as hash in<strong>for</strong>mation, compression<br />

level and time <strong>of</strong> acquisition. EnCase, SMART and Advanced <strong>Forensic</strong>s Format<br />

(AFF) could be the examples <strong>of</strong> the structured data.<br />

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