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De-Wipimization: Detection of data wiping traces for investigating NTFS file system

Authors
Oh, Dong BinPark, Kyung HoKim, Huy Kang
Issue Date
12월-2020
Publisher
ELSEVIER ADVANCED TECHNOLOGY
Keywords
Cybercrime; Anti-forensic; Data wiping; Machine leaming
Citation
COMPUTERS & SECURITY, v.99
Indexed
SCIE
SCOPUS
Journal Title
COMPUTERS & SECURITY
Volume
99
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/51311
DOI
10.1016/j.cose.2020.102034
ISSN
0167-4048
Abstract
Data wiping is used to securely delete securely unwanted files. However, the misuse of data wiping can destroy pieces of evidence to be spoiled in a digital forensic investigation. To cope with the misuse of data wiping, we proposed an anti-anti-forensic method based on NTFS transaction features and a machine leaming algorithm. This method allows investigators to obtain information regarding 'which files are wiped' and 'which data wiping tools and data sanitization standards used'. In this study, we achieved good identification of data wiping traces in the NTFS file system. Leveraging the efficiency of machine leaming mod els, our method effectively recognizes wiped partitions and files in the NTFS file system and identifies tools used in data sanitization. (C) 2020 Elsevier Ltd. All rights reserved.
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