3.0 introduction
Mobile forensic are types of digital forensic which occur over mobile devices and facilitate extraction of digital evidence in the event of crime committed using mobile devices (Arora & Gigras, 2020). This thesis will focus on tools that used in android forensics to get data acquisition. Furthermore, will use six open source applications on Linux operating system. as well will use one application for analyses. The applications are: WhatsApp Forensic, Android Keystore, PyADB, Android Backup Extractor, OpenMF and Andriller. Each has different functionality and methods for data acquisition which will explain in details on this thesis with Autopsy tool.
3.1 Methodology
Software Development Life Cycle (SDLC) Model refers to a conceptual framework which encompasses all the activities engaged during software development project (Lemke, 2018). The major activities in a SDLC model include identification of all the requirements, the implementation of the requirements and finally software deployment (Kudo, et al., 2019). In project thesis, I will use SDLC model mmethodology to complete the main goal of the project. More details in appendix (A). There are five phases related to the model which are: –
Figure 4 :Software Development Life Cycle model
3.3 Android data acquisition process flow
Short prograph ( 5-6 lines ) from : Data extraction techniques – page 342…. You may start prograph by :
And then mention 3 types of extraction
3.4 Manual data extraction ( 4-5 lines ) Page 344 only
3.5 Logical data extraction ( 4-5 lines ) Page 346 only… in the end I want you mention this : logical data use an applications to perform the result
3,6 physical data extraction ( 4-5 lines ) you can check this web as a referance : https://www.milwforensics.com/PrivateInvestigatorReviews-logicalPhysicalExtraction ( don’t forget to add this link to references )
Figure : Flowchart for Logical and Physical data extraction
3.4 data analysis process diagram
Data analysis is a process to analysis all data acquired aby different applications. during using android application, a lot of sensitive information are stored in internal memory. by using different forensics tools the examiner can get access data that stored internally .After data been collected from six open sources tools, autopsy will be used for data analysis.
In yellow cooler I paraphrase it from this book :
Practical mobile forensics :Dive into mobile forensics on IOS, Android ,windows and blackberry devices with this action-packed practical guide
Authors : Satish bommisetty, Rohit Tamma , Heather Mahalik
Page : 380
Figure : Flowchart of data analysis process
Through analysis process the examiner can analysis different data that acquired . Autopsy application is open source tool which can analysis android image . the application provide different model such : Timeline Analysis , Hash Filtering, Keyword Search, Web Artifacts, Data Carving, and Multimedia
In the yellow color I paraphrase it from this book :
Practical Mobile Forensics: Forensically investigate and analyze iOS, android and windows 10 devices
Authors : By Rohit Tamma, Oleg Skulkin, Heather Mahalik, Satish Bommisetty
Page : 252
In the red color I copy and paste from this website : https://www.sleuthkit.org/autopsy/
Figure : Flowchart of Autopsy process
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