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

Knowledge-Based Systems
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 adjacent sectors.
Yi Wang   +4 more
openaire   +3 more sources

A Language-Independent Approach to Classification of Textual File Fragments: Case Study of Persian, English, and Chinese Languages

2021 11th International Conference on Computer Engineering and Knowledge (ICCKE), 2021
With the advent of communications systems in recent decades, the transmission of electronic files on computer networks has dramatically increased.
Fatemeh Mansouri Hanis   +3 more
openaire   +2 more sources

File Fragment Type Identification Based on CNN and LSTM

International Conference on Digital Signal Processing, 2023
In digital forensics, file carving is the process of recovering files on a storage media without any file system information. Note that when a file is deleted, the file system does not zero-out the corresponding data blocks because their content will be ...
Nan Zhu, Yang Liu, Kun Wang, Changyou Ma
semanticscholar   +1 more source

Classification and Recovery of Fragmented Multimedia Files using the File Carving Approach

International Journal of Mobile Computing and Multimedia Communications, 2013
File carving is a recovery technique which does not consider file tables or other meta-data which is used to organize data on storage media. As files can be recovered based only on their content and/or structure, this technique is an indispensable task during digital investigations.
Rainer Poisel   +3 more
openaire   +1 more source

Attention-based CNN for Adversarial File Fragment Detection Against Padding and Bit-Flip Attacks

2025 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN)
File fragment classification represents a critical task within digital forensics and cybersecurity that aims to recover fragmented files when their metadata is not available.
Teena Mary, Sreeja Cs
semanticscholar   +1 more source

IMPROVED BINARY DATA BLOCK CLASSIFICATION MODEL FOR FILE CARVING PROBLEMS

Herald of Khmelnytskyi National University. Technical sciences
In this paper, we address the problem of classifying blocks of binary data as an integral stage in the file-carving process under conditions of high fragmentation.
Viacheslav Moskalenko, Maksym Boiko
semanticscholar   +1 more source

Random access DNA memory using Boolean search in an archival file storage system

Nature Materials, 2021
James L Banal   +2 more
exaly  

Unidirectional single-file transport of full-length proteins through a nanopore

Nature Biotechnology, 2023
Luning Yu, , Behzad Mehrafrooz
exaly  

Light-Weight File Fragments Classification Using Depthwise Separable Convolutions

2022
Kunwar Muhammed Saaim   +3 more
openaire   +1 more source

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