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Hierarchy-Based File Fragment Classification [PDF]
Machine Learning and Knowledge Extraction, 2020 File fragment classification is an essential problem in digital forensics. Although several attempts had been made to solve this challenging problem, a general solution has not been found.
Manish Bhatt +6 more
doaj +6 more sources
Dataset for file fragment classification of video file formats [PDF]
BMC Research Notes, 2020 Objectives File fragment classification of video file formats is a topic of interest in network forensics. There are some publicly available datasets for file fragments of various file types such as textual, audio, and image file formats.
Narges Sadeghi +2 more
doaj +6 more sources
Dataset for file fragment classification of image file formats [PDF]
BMC Research Notes, 2019 Objectives File fragment classification of image file formats is a topic of interest in network forensics. There are a few publicly available datasets of files with image formats.
Reyhane Fakouri, Mehdi Teimouri
doaj +7 more sources
Dataset for file fragment classification of audio file formats [PDF]
BMC Research Notes, 2019 Objectives File fragment classification of audio file formats is a topic of interest in network forensics. There are a few publicly available datasets of files with audio formats.
Atieh Khodadadi, Mehdi Teimouri
doaj +8 more sources
Dataset for file fragment classification of textual file formats [PDF]
BMC Research Notes, 2019 Objectives Classification of textual file formats is a topic of interest in network forensics. There are a few publicly available datasets of files with textual formats. Therewith, there is no public dataset for file fragments of textual file formats. So,
Fatemeh Mansouri Hanis, Mehdi Teimouri
doaj +6 more sources
ITC-MNP: a diverse dataset for image file fragment classification [PDF]
BMC Research NotesObjectives Image file fragment classification is a critical area of study in digital forensics. However, many publicly available datasets in this field are derived from a single source, often lacking consideration of the diversity in image settings and ...
Behnam Tavassoli +2 more
doaj +6 more sources
File Fragment Type Classification Using Light-Weight Convolutional Neural Networks
IEEE AccessIn digital forensics, file carving is used to extract files without relying on the underlying file system metadata. This process can be challenging if the file is fragmented. Therefore, it is important first to identify the type of file fragment.
Muhamad Felemban +4 more
doaj +7 more sources
File Fragment Classification using Content Based Analysis [PDF]
ITM Web of Conferences, 2021 One of the major components in Digital Forensics is the extraction of files from a criminal’s hard drives. To achieve this, several techniques are used. One of these techniques is using file carvers.
Bhat Anirudh +3 more
doaj +3 more sources
File fragment encoding classification—An empirical approach [PDF]
Digital Investigation, 2013 Over the past decade, a substantial effort has been put into developing methods to classify file fragments. Throughout, it has been an article of faith that data fragments, such as disk blocks, can be attributed to different file types. This work is an attempt to critically examine the underlying assumptions and compare them to empirically collected ...
Vassil Roussev
exaly +3 more sources
SIFT – File Fragment Classification Without Metadata [PDF]
2023 3rd International Conference on Computing and Information Technology (ICCIT), 2023 A vital issue of file carving in digital forensics is type classification of file fragments when the filesystem metadata is missing. Over the past decades, there have been several efforts for developing methods to classify file fragments. In this research, a novel sifting approach, named SIFT (Sifting File Types), is proposed.
Shahid Alam
exaly +4 more sources