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Analysis and Acquisition of APFS Data from a Forensic Perspective
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dc.contributor.authorLee, Jino-
dc.contributor.authorShon, Tae Shik-
dc.date.issued2023-01-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36912-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85144201144&origin=inward-
dc.description.abstractIn recent years, the use of communication devices such as computers and smartphones has become indispensable in most people’s lives, and the number of people using Apple’s products has increased. This means that analysis of APFS, Apple’s file system today, is becoming increasingly important in a digital forensic investigation environment. However, many studies have been conducted on existing file systems, and detailed information such as where data is located can be found and how to recover the deleted data. In APFS, information about user credentials, usage history, and downloaded files remains artifacts. Currently, however, study of APFS is focused on file recovery. Therefore, in this paper, we not only propose a method to recover deleted files, but also analyze and organize the important artifacts for digital forensics investigation. We also describe the applicability of existing HFS + methods to APFS. Lastly, We describe the applicability of this analytical method and discuss further research.-
dc.description.sponsorshipAcknowledgements. This research was supported by Energy Cloud R&D Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT (NRF-2019M3F2A1073385)-
dc.language.isoeng-
dc.publisherSpringer Science and Business Media Deutschland GmbH-
dc.subject.meshAPFS-
dc.subject.meshCommunication device-
dc.subject.meshFile recovery-
dc.subject.meshFilesystem-
dc.subject.meshForensic-
dc.subject.meshForensic investigation-
dc.subject.meshMacOS-
dc.subject.meshNumber of peoples-
dc.subject.meshSmart phones-
dc.subject.meshUsage history-
dc.titleAnalysis and Acquisition of APFS Data from a Forensic Perspective-
dc.typeConference-
dc.citation.conferenceDate2021.11.18. ~ 2021.11.20.-
dc.citation.conferenceName1st International Conference on Security and Information Technologies with AI, Internet Computing, and Big data Applications, SITAIBA 2021-
dc.citation.edition2021 International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications-
dc.citation.endPage398-
dc.citation.startPage390-
dc.citation.titleSmart Innovation, Systems and Technologies-
dc.citation.volume314-
dc.identifier.bibliographicCitationSmart Innovation, Systems and Technologies, Vol.314, pp.390-398-
dc.identifier.doi10.1007/978-3-031-05491-4_39-
dc.identifier.scopusid2-s2.0-85144201144-
dc.identifier.urlhttps://www.springer.com/series/8767-
dc.subject.keywordAPFS-
dc.subject.keywordForensics-
dc.subject.keywordMacOS-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaDecision Sciences (all)-
dc.subject.subareaComputer Science (all)-
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