Fragments-Expert: A Graphical User Interface MATLAB Toolbox for Classification of File Fragments
This provides a practical tool for applications like digital forensics and intrusion detection, but it is incremental as it combines existing methods into a user-friendly interface.
The authors tackled the lack of a software tool for classifying file fragments by developing Fragments-Expert, a MATLAB toolbox that integrates 22 feature categories and 7 machine learning algorithms, enabling classification across various file formats.
The classification of file fragments of various file formats is an essential task in various applications such as firewalls, intrusion detection systems, anti-viruses, web content filtering, and digital forensics. However, the community lacks a suitable software tool that can integrate major methods for feature extraction from file fragments and classification among various file formats. In this paper, we present Fragments-Expert that is a graphical user interface MATLAB toolbox for the classification of file fragments. It provides users with 22 categories of features extracted from file fragments. These features can be employed by 7 categories of machine learning algorithms for the task of classification among various file formats.