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Revisiting Fragmentation for Deduplication in Clustered Primary Storage Systems
IEEE International Conference on Cluster ComputingTo improve storage efficiency in large-scale clustered storage systems, deduplication that removes duplicate chunks has been widely deployed in distributed ways.
Lin Wang +9 more
semanticscholar +1 more source
Roadmap to Approaches for Carving of Fragmented Multimedia Files
2011 Sixth International Conference on Availability, Reliability and Security, 2011File 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
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Enhanced Security Through Distributed Fragmentation And Encryption For Cloud-Based Data Storage
2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)This paper proposes a novel cloud data security paradigm for sensitive applications, integrating Equipartition File Segmentation (EFS), a hybrid encryption scheme, and distributed storage.
Kaushik J, J. C, R. Vasanthi
semanticscholar +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), 2018Hashing 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.
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Reducing Data Fragmentation in Data Deduplication Systems via Partial Repetition and Coding
arXiv.orgData 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
A Proposed Approach to Compound File Fragment Identification
2014One 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 +3 more
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Globalisation, Societies and Education
Exploring the interplay between teacher solidarity and fragmentation in Arizona, this paper uses a critical bifocality lens to examine the experiences of six teacher organisers during the pandemic.
R. Collins
semanticscholar +1 more source
Exploring the interplay between teacher solidarity and fragmentation in Arizona, this paper uses a critical bifocality lens to examine the experiences of six teacher organisers during the pandemic.
R. Collins
semanticscholar +1 more source
international journal of engineering trends and technology, 2022
R. K, S. M, Linda Joseph
semanticscholar +1 more source
R. K, S. M, Linda Joseph
semanticscholar +1 more source
Recovery of Deleted Files in the NTFS File System using Python and PyTSK3
2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)Data loss due to accidental or malicious deletion of files poses significant challenges in digital data management and forensics. The ability to efficiently and reliably recover deleted files is crucial for maintaining data integrity, ensuring business ...
K. Venkatesh +4 more
semanticscholar +1 more source
arXiv.org
File systems must allocate space for files without knowing what will be added or removed in the future. Over the life of a file system, this may cause suboptimal file placement decisions that eventually lead to slower performance, or aging.
A. Conway +13 more
semanticscholar +1 more source
File systems must allocate space for files without knowing what will be added or removed in the future. Over the life of a file system, this may cause suboptimal file placement decisions that eventually lead to slower performance, or aging.
A. Conway +13 more
semanticscholar +1 more source

