Results 261 to 270 of about 533,194 (286)

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, Marlies Rybnicek, Bernhard Schildendorfer, Simon Tjoa   +3 more
openaire   +1 more source

A Proposed Approach to Compound File Fragment Identification

2014
One of the biggest challenges in file fragment classification is the low classification rate of compound files known as high entropy files that contain different types of data, such as images and compressed text. It is seen that current methods for file fragment classification may not work for classifying these compound files.
Khoa Nguyen 0004, Dat Tran 0001, Wanli Ma 0003, Dharmendra Sharma 0001   +3 more
openaire   +1 more source

Benchmarking Tertiary Storage Systems with File Fragmentation

2002
In this paper we compare efficiency of two proposed storage management systems with the efficiency obtained for the commercial solution. The developed prototypes make use of index-based retrieving of file fragments, therefore they can be useful for multimedia databases.
Darin Nikolow, Renata Slota, Jacek Kitowski   +2 more
openaire   +1 more source

File fragment type detection by neural network

2018 26th Signal Processing and Communications Applications Conference (SIU), 2018
File type detection is vital for data recovery, cyber attack detection and, and digital forensic studies. There are extension based, knowledge of file header, and content based methods for file type detection. Extension based and knowledge of file header based methods aren't robust methods since file header and extension can be easily changed.
openaire   +1 more source

A New Approach to Compressed File Fragment Identification

2015
Identifying the underlying type of a file given only a file fragment is a big challenge in digital forensics. Many methods have been applied to file type identification; however the identification accuracies of most of file types are still very low, especially for files having complex structures because their contents are compound data built from ...
Khoa Nguyen 0004, Dat Tran 0001, Wanli Ma 0003, Dharmendra Sharma 0001   +3 more
openaire   +1 more source

Textual File Fragments Dataset and Code

2019
In this study, we present a dataset that contains file fragments of five textual file formats: Binary file format for Word 97-Word 2003 (DOC), Microsoft Word open XML format (DOCX), portable document format (PDF), rich text file (RTF), and standard text document (TXT).
Teimouri, Mehdi, Hanis, Fatemeh Mansouri
openaire   +1 more source

How to Carve Out-of-Order Fragmented Files

The contents of files are typically stored on disk in a consecutive manner. However, $$\sim $$∼4% of files are fragmented – the contents is not stored on-disk in one continuous part. The fragments that together constitute the file may even be stored in non-consecutive order on-disk.
Nick Huijsmans, Bart Kuijsten, Hugo Jonker, Harm M. A. van Beek   +3 more
openaire   +2 more sources

Fragments‐Expert: A graphical user interface MATLAB toolbox for classification of file fragments

Concurrency Computation Practice and Experience, 2021
Mehdi Teimouri
exaly  

Statistical Approaches to File Fragment Analysis

2023
Razaq Jinad, A. B. M. Rezbaul Islam, Narasimha K. Shashidhar   +2 more
openaire   +1 more source

Light-Weight File Fragments Classification Using Depthwise Separable Convolutions

IFIP Advances in Information and Communication Technology, 2022
Muhamad Felemban, Saleh Alsaleh, Ahmad AlMulhem   +2 more
exaly