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Private Cloud Storage Forensics: Seafile as a Case Study

Authors :
Yee-Yang Teing
Gregory Epiphaniou
Reza M. Parizi
Sajad Homayoun
Mohammad Hammoudeh
Ali Dehghantanha
Kim-Kwang Raymond Choo
Source :
Handbook of Big Data and IoT Security ISBN: 9783030105426, Handbook of Big Data and IoT Security
Publication Year :
2019
Publisher :
Springer International Publishing, 2019.

Abstract

Cloud storage forensics is an active research area, and this is unsurprising due to the increasing popularity of cloud storage services (e.g., Dropbox, Google Drive, and iCloud). Existing research generally focuses on public cloud forensics (e.g., client device forensics), rather than private cloud forensics (e.g., both client and server forensics). In this paper, we aim to address the gap by proposing a framework for forensics investigations of private cloud storage services. The proposed framework elaborates on procedures and artefact categories integral to the collection, preservation, analysis, and presentation of key evidential data from both client and server environments. Using the proposed framework to guide the investigation of Seafile, a popular open-source private cloud storage service, we demonstrate the types of client and server side artefacts that can be forensically recovered.

Details

ISBN :
978-3-030-10542-6
ISBNs :
9783030105426
Database :
OpenAIRE
Journal :
Handbook of Big Data and IoT Security ISBN: 9783030105426, Handbook of Big Data and IoT Security
Accession number :
edsair.doi...........bca1207db19ee541779b6c63b8d98f75
Full Text :
https://doi.org/10.1007/978-3-030-10543-3_5