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Byte embeddings for file fragment classification

Future Generation Computer Systems, 2022
Abstract In digital forensics, file carving is the process of recovering files on a storage media in part or in whole without any file system information. An important problem in file carving is the identification of fragment types. Many fragment classification studies in the literature employ inflexible and indiscernible feature selection methods ...
Md. Enamul Haque, Mehmet Engin Tozal
openaire   +1 more source

Carving Orphaned JPEG File Fragments

IEEE Transactions on Information Forensics and Security, 2015
File carving techniques allow for recovery of files from storage devices in the absence of any file system metadata. When data are encoded and compressed, the current paradigm of carving requires the knowledge of the compression and encoding settings to succeed.
Sencar, Hüsrev Taha, Uzun, Erkam
openaire   +2 more sources

FILE FRAGMENTATION AND DUAL HOMOMORPHISM ENCRYPTION TECHNIQUE FOR SECURITY PUBLIC CLOUD

Multidisciplinary journal of research in engineering and technology, 2018
Outsourcing data which deploy over public cloud to an untouchable definitive control, as is done in circulated processing, offers climb to security concerns.
Priyanka N. Kamble, Jyoti Kamble
semanticscholar   +1 more source

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   +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   +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   +2 more
openaire   +1 more source

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

Reducing Fragmentation in Data Deduplication Systems via Partial Repetition and Coding

IEEE Transactions on Information Theory
Data deduplication, one of the key features of modern Big Data storage devices, is the process of removing replicas of data chunks stored by different users.
Yun-Han Li   +3 more
semanticscholar   +1 more source

Fragmentation in Data Deduplication Systems II: The Jump Metric

International Symposium on Information Theory
Data deduplication refers to a collection of data processing strategies that aim to remove repeated data chunks stored by different users. Despite providing excellent storage savings, deduplication can lead to severe file fragmentation issues: data ...
Yun-Han Li   +3 more
semanticscholar   +1 more source

Fragmentation in Data Deduplication Systems I: The Stretch Metric

International Symposium on Information Theory
Data deduplication is one of the key features of modern Big Data storage devices. It is the process of removing replicas of data chunks stored by different users.
Yun-Han Li   +3 more
semanticscholar   +1 more source

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