Results 11 to 20 of about 295,131 (255)

A contemporary investigation of NTFS file fragmentation

open access: yesForensic 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 ...
Vincent van der Meer   +2 more
openaire   +2 more sources

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

open access: yesVietnam 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   +2 more
doaj   +1 more source

Ionic concentration in periradicular medium after dissolution of endodontic file fragments: an in vitro study [PDF]

open access: yesBrazilian Oral Research, 2022
The aim of this study was to obtain ionic quantification in periradicular medium after diffusion tests of the solution used inside root canals during the electrochemical dissolution of endodontic file fragments and the NiTi-containing dissolution product
Fabiola ORMIGA   +9 more
doaj   +1 more source

File Fragmentation in the Wild: a Privacy-Friendly Approach [PDF]

open access: yes2019 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.
Vincent van der Meer   +5 more
openaire   +2 more sources

ByteRCNN: Enhancing File Fragment Type Identification With Recurrent and Convolutional Neural Networks

open access: yesIEEE 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
doaj   +1 more source

File Fragmentation over an Unreliable Channel [PDF]

open access: yes2010 Proceedings IEEE INFOCOM, 2010
It has been recently discovered that heavy-tailed file completion time can result from protocol interaction even when file sizes are light-tailed. A key to this phenomenon is the RESTART feature where if a file transfer is interrupted before it is completed, the transfer needs to restart from the beginning.
Nair, Jayakrishnan   +4 more
openaire   +3 more sources

Syntactical method for reconstructing highly fragmented OOXML files

open access: yesРадіоелектронні 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
doaj   +1 more source

Entropy Based Method for Malicious File Detection

open access: yesJOIV: 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
doaj   +1 more source

DFS: a de-fragmented file system [PDF]

open access: yesProceedings. 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.
Woo Hyun Ahn   +3 more
openaire   +1 more source

Dew Computing and Asymmetric Security Framework for Big Data File Sharing

open access: yesInformation, 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
doaj   +1 more source

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