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http://dx.doi.org/10.13089/JKIISC.2015.25.6.1377

The Automatic Collection and Analysis System of Cloud Artifact  

Kim, Mingyu (Graduate School of Information Security, Korea University)
Jeong, Doowon (Graduate School of Information Security, Korea University)
Lee, Sangjin (Graduate School of Information Security, Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.25, no.6, 2015 , pp. 1377-1383 More about this Journal
Abstract
As the cloud services users' increase, there are important files created by individual in cloud storage. Thus, investigation of cloud artifact should be conducted. There are two methods of analyzing cloud service, one is that investigates cloud server provider (CSP), and another is that investigates client. In this paper, we presents an automated framework to detect the altered artifact and developes a tool that detects the cloud artifact. We also developed Cloud Artifact Tool that can investigate client computer. Cloud Artifact Tool provides feature of collection and analysis for the services such as Google Drive, Dropbox, Evernote, NDrive, DaumCloud, Ucloud, LG Cloud, T Cloud and iCloud.
Keywords
Cloud Forensics; Cloud Service; Digital Forensics; Cloud Artifact;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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5 Dropbox release note information, https://www.dropbox.com/release_notes
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