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A comprehensive literature review of file carving
File carving is a recovery technique allowing file recovery without knowledge about
contextual information such as file system metadata. Due to recent advancements in …
contextual information such as file system metadata. Due to recent advancements in …
Sceadan: Using concatenated n-gram vectors for improved file and data type classification
NL Beebe, LA Maddox, L Liu… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Over 20 studies have been published in the past decade involving file and data type
classification for digital forensics and information security applications. Methods using n …
classification for digital forensics and information security applications. Methods using n …
[HTML][HTML] The normalised compression distance as a file fragment classifier
S Axelsson - digital investigation, 2010 - Elsevier
We have applied the generalised and universal distance measure NCD—Normalised
Compression Distance—to the problem of determining the type of file fragments. To enable …
Compression Distance—to the problem of determining the type of file fragments. To enable …
[PDF][PDF] Advanced file carving approaches for multimedia files.
File carving is a recovery technique that recovers files based on information about their
structure and content without matching file system information. As files can be recovered …
structure and content without matching file system information. As files can be recovered …
File block classification by support vector machine
L Sportiello, S Zanero - 2011 Sixth international conference on …, 2011 - ieeexplore.ieee.org
Retrieval of files without the support of file system structures is arguably essential for digital
forensics. Files are typically stored as sequences of data blocks, which have to be …
forensics. Files are typically stored as sequences of data blocks, which have to be …
[PDF][PDF] CAEMSI: A Cross-Domain Analytic Evaluation Methodology for Style Imitation.
We propose CAEMSI, a cross-domain analytic evaluation methodology for Style Imitation
(SI) systems, based on a set of statistical significance tests that allow hypotheses comparing …
(SI) systems, based on a set of statistical significance tests that allow hypotheses comparing …
[PDF][PDF] A File Fragment Classification Method Based on Grayscale Image.
T Xu, M Xu, Y Ren, J Xu, H Zhang, N Zheng - J. Comput., 2014 - jcomputers.us
File fragment classification is an important and difficult problem in digital forensics. Previous
works in this area mainly relied on specific byte sequences in file headers and footers, or …
works in this area mainly relied on specific byte sequences in file headers and footers, or …
A survey on using Kolmogorov complexity in cybersecurity
Security and privacy concerns are challenging the way users interact with devices. The
number of devices connected to a home or enterprise network increases every day …
number of devices connected to a home or enterprise network increases every day …
Data type classification: Hierarchical class-to-type modeling
Data and file type classification research conducted over the past ten to fifteen years has
been dominated by competing experiments that only vary the number of classes, types of …
been dominated by competing experiments that only vary the number of classes, types of …
Comparison of compression-based measures with application to the evolution of primate genomes
An efficient DNA compressor furnishes an approximation to measure and compare
information quantities present in, between and across DNA sequences, regardless of the …
information quantities present in, between and across DNA sequences, regardless of the …