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

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The aim <strong>of</strong> this chapter is to provide an overview <strong>of</strong> the research findings and the<br />

structure <strong>of</strong> the thesis. The rationales behind this research are explained from the legal<br />

and technology perspectives in Section 1.1. The main research findings are discussed<br />

briefly and presented in Section 1.2. The structure <strong>of</strong> the thesis is presented in Section<br />

1.3.<br />

1.1 MOTIVATION OF THE RESEARCH<br />

Digital <strong>for</strong>ensics has been well developed in the past decade and has become an<br />

important component <strong>of</strong> many investigations. Investigators from both private and<br />

public sectors are relying on the digital <strong>for</strong>ensic tools on a daily basis to gather, assess<br />

and analyse digital evidence.<br />

Garfinkel (2010) states that digital <strong>for</strong>ensics is facing a crisis and the tool has<br />

gradually become obsolete. The digital <strong>for</strong>ensics community is facing intimate<br />

challenges, especially in the process <strong>of</strong> data collection (Mohay, 2005; Mercuri, 2005).<br />

From a legal perspective, according to the guidelines established in Daubert Standard<br />

(Daubert v. Merrell Dow Pharmaceuticals, Inc., 1993), scientific evidence that is<br />

admissible to the court must be validated by five relevant factors. The five relevant<br />

factors will be described in Section 2.2.2. The techniques and methods that are used<br />

<strong>for</strong> the collection, analysis and presentation <strong>of</strong> the digital evidence can be challenged<br />

by lawyers as they become more familiar with the technology adopted. However, the<br />

progress <strong>of</strong> the validation <strong>of</strong> such techniques and methods is limited. The admissibility<br />

<strong>of</strong> the digital evidence can be guaranteed if underlying techniques or methods are<br />

scientifically validated and recognised (Erbacher, 2010). Guo et al. (2009, p.S12) also<br />

pointed out that one <strong>of</strong> the challenges the digital <strong>for</strong>ensics practitioners are facing is<br />

the difficulty <strong>of</strong> assuring that the digital evidence extracted by the digital <strong>for</strong>ensic tools<br />

is reliable.<br />

There are also technical constraints <strong>for</strong> digital <strong>for</strong>ensics that are presented and<br />

operated in a dynamic computing environment. <strong>Forensic</strong>s practitioners are required to<br />

process enormous volumes <strong>of</strong> data. This task is so demanding that investigators are<br />

struggling to trans<strong>for</strong>m those data into investigative knowledge. Using a single tool or<br />

a <strong>for</strong>ensics toolkit, such as EnCase or FTK, to fulfil all the requirements in different<br />

2

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