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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
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Data Fragment Classification of High Entropy Files Using Machine Learning
, 2023 M. Sunitha +5 more
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2021 11th International Conference on Computer Engineering and Knowledge (ICCKE), 2021 Fatemeh Mansouri Hanis +3 more
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File Fragment Type Classification by Bag-Of-Visual-Words
2021File fragment’s type classification in the absence of header and file system information, is a major building block in various solutions devoted to file carving, memory analysis and network forensics. Over the past decades, a substantial amount of effort has been put into developing methods to classify file fragments.
Erfan, Mina, Jalili, Saeed
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Exploring 1D Data Augmentation Techniques for Improved File Fragment Classification
2025 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)Mincheol Kim +3 more
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XMP: A Cross-Attention Multi-Scale Performer for File Fragment Classification
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Jeong Gyu PARK +2 more
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Optimizing File Fragment Classification By Mitigating Class Imbalance Problem
2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR)Shahid Alam, Zeynep Altıparmak
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Hybrid Feature Selection Method for Improving File Fragment Classification
2019Identifying types of file fragments in isolation from their context is an essential task in digital forensic analysis and can be done with several methods. One common approach is to extract various types of features from file fragments as inputs for classification algorithms. However, this approach suffers from dimensionality curse as the number of the
Algurashi, Alia, Wang, Wenjia
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Anomaly Detection in File Fragment Classification of Image File Formats
2021 11th International Conference on Computer Engineering and Knowledge (ICCKE), 2021Zahra Seyedghorban, Mehdi Teimouri
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Byte embeddings for file fragment classification
Future Generation Computer Systems, 2022Mehmet Engin Tozal
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