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Digital forensic science approach by file recovery research
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Publication Year
2018-08-01
Publisher
Springer New York LLC
Citation
Journal of Supercomputing, Vol.74, pp.3704-3725
Keyword
Digital forensicsIoTMagic numberPermanent deletionRecoveryUFS
Mesh Keyword
File allocationFile recoveryFile systemsForensic TechniquesMagic numbersNew studyPermanent deletionPrivacy protection
All Science Classification Codes (ASJC)
SoftwareTheoretical Computer ScienceInformation SystemsHardware and Architecture
Abstract
Although many studies have been conducted on digital forensics, their viewpoints keep changing, and new studies are continuously required on fields that have not been researched yet. This paper proposes a privacy protection measure by applying permanent deletion to the Internet-of-Things platform: a digital forensic technique regarding privacy protection that has been regarded as a cautious subject. In addition, we propose a file recovery method by analyzing a file allocation area in a UNIX file system, which has not been addressed, and identifying the clue for journal area using a magic number.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/29978
DOI
https://doi.org/10.1007/s11227-016-1909-2
Fulltext

Type
Article
Funding
Acknowledgements This research was supported by the Public Welfare and Safety Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2012M3A2A1051116). Following are results of a study on the \u201cLeaders INdustry-university Cooperation\u201d Project, supported by the Ministry of Education, Science and Technology.
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SHON, TAE SHIK Image
SHON, TAE SHIK손태식
Department of Cyber Security
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