The primary duties include dataset development for mobile devices (Android and iOS). The process of developing datasets consists of several phases: Planning, Setup/Preparation, Data Population, and Acquisition. A dataset is a collection of files or data (obtained from a digital device) created to have a desired set of attributes and known content. In mobile forensics, these datasets can be used for a variety of quality assurance purposes, including but not limited to: the testing and evaluation of tools and methods, training and performance monitoring of forensic examiners, and verification of artifacts or analysis findings. The quality of a test dataset is generally dependent upon the development documentation. A well-documented dataset facilitates more rigorous testing and reliable results.
Applying candidates should have familiarity with the following:
- Fluency with Android and iOS operating systems
- Experience with documentation
- Detail oriented
- Some research experience desirable
- Scenario development and scripting (Python) desirable