Results 11 to 20 of about 289,055 (256)
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 +2 more
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File Fragmentation in the Wild: a Privacy-Friendly Approach [PDF]
2019 IEEE International Workshop on Information Forensics and Security (WIFS), 2019 Digital forensic tooling should be based on reference data. Such reference data can be gathered by measuring a baseline, e.g. from volunteers. However, the privacy provisions in digital forensics tools are typically tailored for criminal investigations. This is not sufficient to ensure privacy obligations towards volunteer participants.
van der Meer, Vincent +5 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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A contemporary investigation of NTFS file fragmentation
Forensic Science International: Digital Investigation, 2021 There is a significant amount of research in digital forensics into analyzing file fragments or reconstructing fragmented data. At the same time, there are no recent measurements of fragmentation on current, in-use computer systems. To close this gap, we have analyzed file fragmentation from a corpus of 220 privately owned Windows laptops.We provide a ...
van der Meer, Vincent +2 more
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Entropy Based Method for Malicious File Detection
JOIV: International Journal on Informatics Visualization, 2022 Ransomware is by no means a recent invention, having existed as far back as 1989, yet it still poses a real threat in the 21st century. Given the increasing number of computer users in recent years, this threat will only continue to grow, affecting more ...
Muhammad Edzuan Zainodin +3 more
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SIFT – File Fragment Classification Without Metadata
2023 3rd International Conference on Computing and Information Technology (ICCIT), 2023 A vital issue of file carving in digital forensics is type classification of file fragments when the filesystem metadata is missing. Over the past decades, there have been several efforts for developing methods to classify file fragments. In this research, a novel sifting approach, named SIFT (Sifting File Types), is proposed.
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Dew Computing and Asymmetric Security Framework for Big Data File Sharing
Information, 2020 Due to the advancement of technology, devices generate huge working files at a rapid rate. These data, which are of considerable scale and are created very fast, can be called big data. Keeping such files in one storage device is impossible. Therefore, a
Parinya Suwansrikham +3 more
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DFS: a de-fragmented file system [PDF]
Proceedings. 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems, 2003 Small file accesses are still limited by disk head movement on modern disk drives with the high disk bandwidth. Small file performance can be improved by grouping and clustering, each of which places multiple files in a directory and places blocks of the same file on disks contiguously.
null Woo Hyun Ahn +3 more
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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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Bending resistance and cyclic fatigue life of Reciproc Blue, WaveOne Gold, and Genius files in a double (S-shaped) curved canal [PDF]
Journal of Dental Research, Dental Clinics, Dental Prospects, 2017 Background. This study compared the cyclic fatigue resistance, bending resistance and cross-sectional areas of Reciproc Blue (RPC Blue), WaveOne Gold (WOG), and Genius File (GF) NiTi rotary systems. Methods.
Taha Özyürek +3 more
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