Intra- and inter-sector contextual information fusion with joint self-attention for file fragment classification

Intra- and inter-sector contextual information fusion with joint self-attention for file fragment classification

File fragment classification (FFC) aims to identify the file type of file fragments in memory sectors, which is of great importance in memory forensics and information security. Existing works focused on processing the bytes within sectors separately and ignoring contextual information between adjac...

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Bibliographic Details
Main Authors: Wang, Yi, Liu, Wenyang, Wu, Kejun, Yap, Kim-Hui, Chau, Lap-Pui
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
File fragment classification
File carving
Memory forensics
Contextual information
Self-attention
Online Access:https://hdl.handle.net/10356/174537

Internet

https://hdl.handle.net/10356/174537

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