Byte embeddings for file fragment classification

Author:

Haque Md Enamul,Tozal Mehmet EnginORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference56 articles.

1. Design of a digital forensics evidence reconstruction system for complex and obscure fragmented file carving;Thing,2011

2. Reviewing and evaluating existing file carving techniques for JPEG files;Hadi,2016

3. Next-generation digital forensics;Richard;Commun. ACM,2006

4. Using NLP techniques for file fragment classification;Fitzgerald;Digit. Investig.,2012

5. The Normalised Compression Distance as a file fragment classifier;Axelsson;Digit. Investig.,2010

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1. SIFT: Sifting file types—application of explainable artificial intelligence in cyber forensics;Cybersecurity;2024-09-11

2. Intra- and inter-sector contextual information fusion with joint self-attention for file fragment classification;Knowledge-Based Systems;2024-05

3. XMP: A Cross-Attention Multi-Scale Performer for File Fragment Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. SIFT – File Fragment Classification Without Metadata;2023 3rd International Conference on Computing and Information Technology (ICCIT);2023-09-13

5. Classification of Low- and High-Entropy File Fragments Using Randomness Measures and Discrete Fourier Transform Coefficients;Vietnam Journal of Computer Science;2023-07-28

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