Thrust (ii) - Computer Aided Data Analysis of Recovered Data

In view of the massive size of the contemporary storage devices and potential large amount of data to be extracted and analysed, computer-aided software tools are envisioned to be highly desirable for the ensuing speed advantages as compared to manual workflow. The software based approach can contribute to the rapid recovery of forensic data from digital storage devices in three aspects, which includes:

1. Automatic binary data extraction from microscopic images of data storage devices;
2. Rapid analysis of large amount of binary data for the identification of useful or important data segments
3. Data repair and augmentation for partially damaged or lost data segments.

Advanced machine learning and artificial intelligence techniques can be employed to tackle these challenging tasks.

• Exploration of artificial intelligence techniques for software aided rapid recovery of forensic data, including automatic data identification, classification and restoration.