论文标题

Fragments-Expert:用于文件片段分类的图形用户界面MATLAB工具箱

Fragments-Expert: A Graphical User Interface MATLAB Toolbox for Classification of File Fragments

论文作者

Teimouri, Mehdi, Seyedghorban, Zahra, Amirjani, Fatemeh

论文摘要

在各种应用程序中,各种文件格式的文件片段的分类是一项必不可少的任务,例如防火墙,入侵检测系统,防病毒,Web内容过滤和数字取证。但是,社区缺乏合适的软件工具,该工具可以集成主要方法,以从文件片段中提取特征,并在各种文件格式之间进行分类。在本文中,我们提出片段 - 专家,它是用于文件片段分类的图形用户界面MATLAB工具箱。它为用户提供了从文件片段中提取的22类功能。这些功能可以由7类机器学习算法采用,以在各种文件格式之间进行分类。

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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