File Fragment Type Classification Using Light-Weight Convolutional Neural Networks

In 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. There exist several techniques to identify the type o...

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Κύριοι συγγραφείς:	Muhamad Felemban, Mustafa Ghaleb, Kunwar Saaim, Saleh AlSaleh, Ahmad Almulhem
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2024-01-01
Σειρά:	IEEE Access
Θέματα:	Digital forensics file carving file fragment type classification depthwise-separable convolution
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/10734094/
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