Classification and recovery of data from flash memory
Classification and recovery of data are critical components of digital forensics. Numerous forensic activities need the decoding of memory dumps, the interpretation of residual data, and the recovery of data from crashed hard drives. Typically, a forensic analyst is tasked with determining the under...
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1584152023-07-07T19:34:25Z Classification and recovery of data from flash memory Lim, Wei Lap-Pui Chau School of Electrical and Electronic Engineering elpchau@ntu.edu.sg Engineering::Electrical and electronic engineering Classification and recovery of data are critical components of digital forensics. Numerous forensic activities need the decoding of memory dumps, the interpretation of residual data, and the recovery of data from crashed hard drives. Typically, a forensic analyst is tasked with determining the underlying file types when supplied with only file fragments and no access to the file system. The motivation is to apply various methods of feature extraction from file fragments in conjunction with machine learning and artificial intelligence for the task of file format categorization. This project will evaluate, test, and compare the accuracy and performance of the Fragments-Expert software in file fragment classification. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-06-04T06:18:49Z 2022-06-04T06:18:49Z 2022 Final Year Project (FYP) Lim, W. (2022). Classification and recovery of data from flash memory. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158415 https://hdl.handle.net/10356/158415 en A3033-211 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Lim, Wei Classification and recovery of data from flash memory |
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Classification and recovery of data are critical components of digital forensics. Numerous forensic activities need the decoding of memory dumps, the interpretation of residual data, and the recovery of data from crashed hard drives. Typically, a forensic analyst is tasked with determining the underlying file types when supplied with only file fragments and no access to the file system. The motivation is to apply various methods of feature extraction from file fragments in conjunction with machine learning and artificial intelligence for the task of file format categorization. This project will evaluate, test, and compare the accuracy and performance of the Fragments-Expert software in file fragment classification. |
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Lap-Pui Chau |
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Lap-Pui Chau Lim, Wei |
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Final Year Project |
author |
Lim, Wei |
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Lim, Wei |
title |
Classification and recovery of data from flash memory |
title_short |
Classification and recovery of data from flash memory |
title_full |
Classification and recovery of data from flash memory |
title_fullStr |
Classification and recovery of data from flash memory |
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Classification and recovery of data from flash memory |
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classification and recovery of data from flash memory |
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Nanyang Technological University |
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2022 |
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https://hdl.handle.net/10356/158415 |
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1772826219372347392 |