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Distributed Filesystem Forensics: Ceph as a Case Study

  • Krzysztof Nagrabski
  • , Michael Hopkins
  • , Milda Petraityte
  • , Ali Dehghantanha*
  • , Reza M. Parizi
  • , Gregory Epiphaniou
  • , Mohammad Hammoudeh
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

Cloud computing is becoming increasingly popular mainly because it offers more affordable technology and software solutions to start-ups and small and medium enterprises (SMEs). Depending on the business requirements there are various Cloud solution providers and services, yet because of this it becomes increasingly difficult for a digital investigator to collect and analyse all the relevant data when there is a need. Due to the complexity and increasing amounts of data, forensic investigation of Cloud is turning into a very complex and laborious endeavour. Ceph is a filesystem that provides a very high availability and data self-healing features, which ensure that data is always accessible without getting damaged or lost. Because of such features, Ceph is becoming a favourite file system for many cloud service providers. Hence, understanding the remnants of malicious users activities is become a priority in Ceph file system. In this paper, we are presenting residual evidences of users’ activities on Ceph file system on Linux Ubuntu 12.4 operating system and discuss the forensics relevance and importance of detected evidences. This research follows a well-known cloud forensics framework in collection, preservation and analysis of CephFS remnants on both client and server sides.

Original languageEnglish
Title of host publicationHandbook of Big Data and IoT Security
PublisherSpringer International Publishing
Pages129-151
Number of pages23
ISBN (Electronic)9783030105433
ISBN (Print)9783030105426
DOIs
StatePublished - 1 Jan 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Keywords

  • Ceph
  • Cloud forensics
  • Cloud storage
  • Data analysis
  • Investigative framework
  • Metadata

ASJC Scopus subject areas

  • General Computer Science

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