Results 221 to 230 of about 113,103 (252)

Resurrection: A Carver for Fragmented Files

2014
The recovery of deleted files is an important task frequently carried out by professionals in digital forensics and data recovery. When carried out without information from the file system, this process is called file carving. The techniques implemented in today’s file carvers are mostly sufficient for non-fragmented files.
Martin Lambertz, Rafael Uetz, Elmar Gerhards-Padilla   +2 more
openaire   +1 more source

Neural Networks for File Fragment Classification

2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2019
Abstract - File fragment classification is an important step in file forensics in which filetypes are assumed based on their available content fragments. Methods typically used for this task utilize machine learning techniques on features like byte frequency distributions and fragment entropy measures.
Kristijan Vulinovic, Lucija Ivkovic, Juraj Petrovic, Kristian Skracic, Predrag Pale   +4 more
openaire   +2 more sources

Identification of image fragments for file carving

World Congress on Internet Security (WorldCIS-2013), 2013
Recovering images intact is an important process in digital forensics, as they may represent primary evidences in crime cases such as child pornography. Due to file syetems' fragmentation mechanisms, images may be split into several fragments on a physical storage.
Azzat Al-Sadi, Manaf Bin-Yahya, Ahmad Almulhem   +2 more
openaire   +1 more source

MiF: Mitigating the Intra-file Fragmentation in Parallel File System

2011 International Conference on Parallel Processing, 2011
Parallel file systems have been broadly deployed in large scale data centers, supporting a wide range of applications across a variety of industries. Unfortunately, most parallel file systems suffer from the intra-file fragmentation which is the disk performance killer.
Jiwu Shu, Youyou Lu, Weimin Zheng
exaly   +2 more sources

Belief Fragments and Mental Files

2021
Belief fragments and mental files are based on the same idea: that information in people’s minds is compartmentalized rather than lumped all together. Philosophers mostly use the two notions differently, though the exact relationship between fragments and files has yet to be examined in detail. This chapter has three main goals.
openaire   +2 more sources

Roadmap to Approaches for Carving of Fragmented Multimedia Files

2011 Sixth International Conference on Availability, Reliability and Security, 2011
File carving is a recovery technique which does not consider file tables or other meta-data which is used to organize data on storage media. As files can be recovered based only on their content and/or structure this technique is an indispensable task during digital investigations. The main contribution of this paper is a survey about new approaches in
Rainer Poisel, Simon Tjoa
openaire   +1 more source

Duplications and Misattributions of File Fragment Hashes in Image and Compressed Files

2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), 2018
Hashing is used in a wide variety of security contexts. Hashes of parts of files, fragment hashes, can be used to detect remains of deleted files in cluster slack, to detect illicit files being sent over a network, to perform approximate file matching, or to quickly scan large storage devices using sector sampling.
openaire   +1 more source

Classification and Recovery of Fragmented Multimedia Files using the File Carving Approach

International Journal of Mobile Computing and Multimedia Communications, 2013
File carving is a recovery technique which does not consider file tables or other meta-data which is used to organize data on storage media. As files can be recovered based only on their content and/or structure, this technique is an indispensable task during digital investigations.
Rainer Poisel, Marlies Rybnicek, Bernhard Schildendorfer, Simon Tjoa   +3 more
openaire   +1 more source

A Proposed Approach to Compound File Fragment Identification

2014
One of the biggest challenges in file fragment classification is the low classification rate of compound files known as high entropy files that contain different types of data, such as images and compressed text. It is seen that current methods for file fragment classification may not work for classifying these compound files.
Khoa Nguyen 0004, Dat Tran 0001, Wanli Ma 0003, Dharmendra Sharma 0001   +3 more
openaire   +1 more source

Benchmarking Tertiary Storage Systems with File Fragmentation

2002
In this paper we compare efficiency of two proposed storage management systems with the efficiency obtained for the commercial solution. The developed prototypes make use of index-based retrieving of file fragments, therefore they can be useful for multimedia databases.
Darin Nikolow, Renata Slota, Jacek Kitowski   +2 more
openaire   +1 more source