CO2518: Mobile Device Evidence and Investigation - IT Assignment Help

Assignment Task:

Task:

Assessed Learning Outcomes
This assignment will assess the following module learning outcomes.
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LO1 To evaluate the need for a full life-cycle approach to the investigation of mobile devices
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LO2To promote best-standard approaches to the collection and preservation of digital evidence located within mobile devices
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LO3 To explore the business drivers affecting the choice of appropriate depth of analysis

Learning Materials
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Cellebrite Certified Operator Coursebook available through the Cellebrite Learning Centre
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ACPO Good Practice Guide for Digital Evidence March 2012 available Week 1 Lab Material • Process Models Week 2 Lab Materials

Constraints
There is a constraint of 2000 words for this assignment. This is the upper limit. Any work exceeding this word limit will not be marked.
References do not count towards your word count. However, your in-text citations do count towards the word count.
Submission This assignment must be submitted via the Turnitin assignment on the CO2518 Blackboard area.
Assessment Description
Write a report that examines the following
1. Evaluate the Logical, File System and Physical extraction methods afforded by the Cellebrite UFED4PC and Cellebrite Physical Analyzer software. Your evaluation should clearly identify the characteristics, strengths and weaknesses of each method and the range of data returned. (750 words).
2. Section 2.2.4 of the ACPO Good Practice Guide for Digital Evidence states that, “In order to comply with the principles of digital evidence, wherever practicable, proportionate and relevant an image should be made of the device. This will ensure that the original data is preserved, enabling an independent third party to re-examine it and achieve the same result, as required by principle 3.”.
Critically evaluate the role that proportionality plays in selecting the evidence extraction method for mobile devices. (500 words).

3. Create, Test and Evaluate a Process Model for the Forensic Investigation of Mobile Devices.
(750 words).
I. Produce a process model that prescribes best practice for the initial processing and evidence extraction of a mobile device. Explain and justify how you have synthesised your process model by referring to the relevant literature.

The process model should be applicable to a range of mobile devices and not restricted to smart phones. For example, you should include a range of devices (e.g. a minimum of 1 x smartphone, 1 x IoT device, and 1 x drone..
II. Using a table, describe the types of evidence that will be captured when using your process model.
III. Design test data that can be used to evaluate the effectiveness of the process model. Your test data should be used to demonstrate how your process model effectively meets the requirements as set out in this assignment description; and it should include the different types of evidence identified in section 3.2. Put the design of your test data into your appendices.

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