Results 11 to 20 of about 1,129,799 (283)
Advanced file carving: ontology, models and methods
Радіоелектронні і комп'ютерні системи, 2023 File carving techniques are important in the field of digital forensics. At the same time, the rapid growth in the amount and types of data requires the development of file carving methods in terms of capabilities, accuracy, and computational efficiency.
Maksym Boiko +2 more
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Syntactical method for reconstructing highly fragmented OOXML files
Радіоелектронні і комп'ютерні системи, 2023 A common task in computer forensics is to recover files that lack file system metadata. In the case of searching for file fragments in unallocated space, file carving is the most often used method, which is ideal for unfragmented data.
Maksym Boiko, Viacheslav Moskalenko
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RX_myKarve carving framework for reassembling complex fragmentations of JPEG images
Journal of King Saud University: Computer and Information Sciences, 2021 Digital forensic aims to provide an assistance for making decisions about a crime by looking at a file content which usually involves image files such as GIF, BMP, JPEG and etc. JPEG is a very popular image file format.
Rabei Raad Ali, Kamaruddin Malik Mohamad
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Hierarchy-Based File Fragment Classification [PDF]
Machine Learning and Knowledge Extraction, 2020 File fragment classification is an essential problem in digital forensics. Although several attempts had been made to solve this challenging problem, a general solution has not been found. In this work, we propose a hierarchical machine-learning-based approach with optimized support vector machines (SVM) as the base classifiers for file fragment ...
Manish Bhatt +6 more
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Dataset for file fragment classification of audio file formats [PDF]
BMC Research Notes, 2019 Abstract Objectives File fragment classification of audio file formats is a topic of interest in network forensics. There are a few publicly available datasets of files with audio formats. Therewith, there is no public dataset for file fragments of audio file formats. So, a big research challenge in file fragment classification of audio file formats is
Atieh Khodadadi, Mehdi Teimouri
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Text File Privacy on the Cloud Based on Diagonal Fragmentation and Encryption
Journal of Engineering Research and Technology, 2021 Despite the growing reliance on cloud services and software, privacy is somewhat difficult. We store our data on remote servers in cloud environments that are untrusted.
Tawfiq S. M. Barhoom +1 more
semanticscholar +1 more source
Dataset for file fragment classification of image file formats [PDF]
BMC Research Notes, 2019 Abstract Objectives File fragment classification of image file formats is a topic of interest in network forensics. There are a few publicly available datasets of files with image formats. Therewith, there is no public dataset for file fragments of image file formats.
Reyhane Fakouri, Mehdi Teimouri
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Finding File Fragments in the Cloud [PDF]
, 2012 As the use – and abuse – of cloud computing increases, it becomes necessary to conduct forensic analyses of cloud computing systems. This paper evaluates the feasibility of performing a digital forensic investigation on a cloud computing system. Specifically, experiments were conducted on the Nimbula on-site cloud operating system to determine if ...
Dirk Ras, Martin S. Olivier
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Dataset for file fragment classification of textual file formats [PDF]
BMC Research Notes, 2019 Abstract Objectives Classification of textual file formats is a topic of interest in network forensics. There are a few publicly available datasets of files with textual formats. Therewith, there is no public dataset for file fragments of textual file formats.
Fatemeh Mansouri Hanis, Mehdi Teimouri
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Anti-Aging LFS: Self-Defragmentation With Fragmentation-Aware Cleaning
IEEE Access, 2020 For several decades, filesystem aging has been widely studied, but nonetheless, it still remains an unsolved problem. Among various filesystems, log-structured filesystems have been reported to be vulnerable to fragmentation due to their append-only ...
Jonggyu Park, Young Ik Eom
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