Results 11 to 20 of about 103,778 (222)

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.
Liu, Wenyang, Wang, Yi, Wu, Kejun, Yap, Kim-Hui, Chau, Lap-Pui   +4 more
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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 ...
Roussev, Vassil, Garfinkel, Simson
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ByteRCNN: Enhancing File Fragment Type Identification With Recurrent and Convolutional Neural Networks

IEEE Access, 2023
File fragment type identification is an important step in file carving and data recovery. Machine learning techniques, especially neural networks, have been utilized for this problem, some with very promising results.
Kristian Skracic, Juraj Petrovic, Predrag Pale   +2 more
doaj   +2 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.
Qian Chen, Lucas C.K. Hui, Dong Liu, En Zhang, Qing Liao, Zoe L. Jiang, Junbin Fang, Siuming Yiu, Guikai Xi, Rong Li, Zhengzhong Yi, Xuan Wang   +11 more
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Using NLP techniques for file fragment classification

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 Morris, Oles Zhulyn   +3 more
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ByteNet: Rethinking Multimedia File Fragment Classification Through Visual Perspectives

IEEE Transactions on Multimedia
Accepted in ...
Wenyang Liu, Kejun Wu, Tianyi Liu, Yi Wang, Kim-Hui Yap, Lap-Pui Chau   +5 more
openaire   +3 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   +2 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, Jason Wheeler, James B. Aimone, Conrad D. James   +4 more
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File fragment encoding classification—An empirical approach

Digital Investigation, 2013
Over the past decade, a substantial effort has been put into developing methods to classify file fragments. Throughout, it has been an article of faith that data fragments, such as disk blocks, can be attributed to different file types. This work is an attempt to critically examine the underlying assumptions and compare them to empirically collected ...
Vassil Roussev, Candice Quates
openaire   +2 more sources

A File Fragment Classification Method Based on Grayscale Image

Journal of Computers, 2014
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 statistical analysis and machine learning algorithms on data from the middle of the file.
Tantan Xu, Ming Xu, Yizhi Ren, Jian Xu, Haiping Zhang, Ning Zheng   +5 more
openaire   +2 more sources