Results 11 to 20 of about 55,996 (210)

Using NLP techniques for file fragment classification [PDF]

Digital Investigation, 2012
Abstract The classification of file fragments is an important problem in digital forensics. The literature does not include comprehensive work on applying machine learning techniques to this problem. In this work, we explore the use of techniques from natural language processing to classify file fragments.
Simran Fitzgerald, George Mathews, Colin W. Morris, Oles Zhulyn   +3 more
exaly   +3 more sources

Classification of Low- and High-Entropy File Fragments Using Randomness Measures and Discrete Fourier Transform Coefficients

Vietnam Journal of Computer Science, 2023
This paper presents an approach to improve the file fragment classification by proposing new features for classification and evaluating them on a dataset that includes both low- and high-entropy file fragments.
Kristian Skračić, Juraj Petrović, Predrag Pale   +2 more
doaj   +3 more sources

A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings [PDF]

2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023
File fragment classification (FFC) on small chunks of memory is essential in memory forensics and Internet security. Existing methods mainly treat file fragments as 1d byte signals and utilize the captured inter-byte features for classification, while the bit information within bytes, i.e., intra-byte information, is seldom considered.
Kim-Hui Yap, Lap-Pui Chau
exaly   +6 more sources

File Fragment Classification Using Grayscale Image Conversion and Deep Learning in Digital Forensics [PDF]

2018 IEEE Security and Privacy Workshops (SPW), 2018
File fragment classification is an important step in digital forensics. The most popular method is based on traditional machine learning by extracting features like N-gram, Shannon entropy or Hamming weights. However, these features are far from enough to classify file fragments.
En Zhang, Dong Liu, Lucas C K Hui
exaly   +3 more sources

ByteNet: Rethinking Multimedia File Fragment Classification Through Visual Perspectives [PDF]

IEEE Transactions on Multimedia
Accepted in ...
Yi Wang, Wenyang Liu, Kim-Hui Yap
exaly   +4 more sources

Adversarial Shadows in Digital Forensics: New Insights Into File Fragment Classification Vulnerabilities and Defenses

IEEE Access
The paper is a comprehensive survey of adversarial attacks on file fragment classification (FFC) models - a relatively unexplored area in digital forensics, given the increasing application of machine learning techniques.
Teena Mary, C. S. Sreeja
doaj   +3 more sources

Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification

IEEE Transactions on Information Forensics and Security, 2018
File fragment classification is an important step in the task of file carving in digital forensics. In file carving, files must be reconstructed based on their content as a result of their fragmented storage on disk or in memory. Existing methods for classification of file fragments typically use hand-engineered features, such as byte histograms or ...
Felix Wang, Tu-Thach Quach, James Aimone   +2 more
exaly   +4 more sources

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, Kim-Hui Yap, Lap-Pui Chau
exaly   +4 more sources

File Fragment Classification-The Case for Specialized Approaches [PDF]

2009 Fourth International IEEE Workshop on Systematic Approaches to Digital Forensic Engineering, 2009
Increasingly advances in file carving, memory analysis and network forensics requires the ability to identify the underlying type of a file given only a file fragment. Work to date on this problem has relied on identification of specific byte sequences in file headers and footers, and the use of statistical analysis and machine learning algorithms ...
Vassil Roussev, Simson Garfinkel
openalex   +4 more sources

Fragments-Expert: A Graphical User Interface MATLAB Toolbox for\n Classification of File Fragments [PDF]

Concurrency and Computation: Practice and Experience, 2020
SummaryThe classification of file fragments of various file formats is an essential task in various applications such as firewalls, intrusion detection systems, antiviruses, web content filtering, and digital forensics. However, the community lacks a suitable software tool that can integrate major methods for feature extraction from file fragments and ...
Mehdi Teimouri, Zahra Seyedghorban, Fatemeh Amirjani   +2 more
  +6 more sources