Forensic APFS File Recovery

2018 ◽  
Author(s):  
Jonas Plum ◽  
Andreas Dewald
Keyword(s):  
File Recovery

Evaluation measures of archive copies for file recovery mechanism

1998 ◽  
Vol 4 (4) ◽  
pp. 291-298 ◽  
Author(s):  
Sayori Nakagawa ◽  
Naohiro Ishii ◽  
Satoshi Fukumoto
Keyword(s):  
Evaluation Measures ◽  
Recovery Mechanism ◽  
File Recovery

An open source approach to video file recovery and playback

2010 ◽  
Vol 50 (1) ◽  
pp. 45
Author(s):  
Z. Geradts ◽  
FIDIS
Keyword(s):  
Open Source ◽  
Video File ◽  
File Recovery

On the File Recovery in Systems Infected by Ransomware

2020 ◽  
pp. 1412-1425 ◽  
Author(s):  
Raffaele D’Arco ◽  
Raffaele Pizzolante ◽  
Arcangelo Castiglione ◽  
Francesco Palmieri
Keyword(s):  
File Recovery

scholarly journals Analisis Perbandingan Toolkit Puran File Recovery, Glary Undelete Dan Recuva Data Recovery Untuk Digital Forensik

2017 ◽  
Vol 1 (1) ◽  
pp. 84 ◽  
Author(s):  
Handrizal Handrizal
Keyword(s):  
Comparative Analysis ◽  
Digital Forensics ◽  
Data Recovery ◽  
File Recovery

This paper presents a comparative analysis of three digital forensics toolkit for data recovery scenario that has been deleted. Toolkit used is Puran File Recovery, Glary Undelete and Recuva Data Recovery. Their ability to restore deleted data has been tested and analyzed in a USB flash drive. The results of the comparison show that this third toolkit can work well in terms of finding the data that has been deleted or in recovering the deleted data.

scholarly journals Experimental Assessment of PCR Specificity and Copy Number for Reliable Data Retrieval in DNA Storage

2019 ◽  
Author(s):  
Lee Organick ◽  
Yuan-Jyue Chen ◽  
Siena Dumas Ang ◽  
Randolph Lopez ◽  
Karin Strauss ◽  
...  
Keyword(s):  
Data Storage ◽  
Dna Sequences ◽  
Random Access ◽  
Data Retrieval ◽  
Drop Out ◽  
Prior Work ◽  
Synthetic Dna ◽  
File Recovery ◽  
Dna Strands ◽  
File Retrieval

ABSTRACTSynthetic DNA has been gaining momentum as a potential storage medium for archival data storage1–9. Digital information is translated into sequences of nucleotides and the resulting synthetic DNA strands are then stored for later individual file retrieval via PCR7–9(Fig. 1a). Using a previously presented encoding scheme9and new experiments, we demonstrate reliable file recovery when as few as 10 copies per sequence are stored, on average. This results in density of about 17 exabytes/g, nearly two orders of magnitude greater than prior work has shown6. Further, no prior work has experimentally demonstrated access to specific files in a pool more complex than approximately 106unique DNA sequences9, leaving the issue of accurate file retrieval at high data density and complexity unexamined. Here, we demonstrate successful PCR random access using three files of varying sizes in a complex pool of over 1010unique sequences, with no evidence that we have begun to approach complexity limits. We further investigate the role of file size on successful data recovery, the effect of increasing sequencing coverage to aid file recovery, and whether DNA strands drop out of solution in a systematic manner. These findings substantiate the robustness of PCR as a random access mechanism in complex settings, and that the number of copies needed for data retrieval does not compromise density significantly.

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