Fragments-Expert: A Graphical User Interface MATLAB Toolbox for Classification of File Fragments
Mehdi Teimouri, Zahra Seyedghorban, Fatemeh Amirjani

TL;DR
Fragments-Expert is a MATLAB GUI toolbox that facilitates file fragment classification by integrating feature extraction and machine learning algorithms, aiding digital forensics and security applications.
Contribution
It introduces a comprehensive MATLAB toolbox with 22 feature categories and 7 machine learning methods for file fragment classification, filling a gap in existing tools.
Findings
Supports 22 feature categories for file fragments
Includes 7 machine learning algorithms for classification
Enhances digital forensics and security workflows
Abstract
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.
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