DocumentCode :
2575348
Title :
A Case Study on Digital Forensics in the Cloud
Author :
Marturana, Fabio ; Me, Gianluigi ; Tacconi, Simone
Author_Institution :
Comput. Sci., Syst. & Production Dept., Univ. of Rome Tor Vergata, Rome, Italy
fYear :
2012
fDate :
10-12 Oct. 2012
Firstpage :
111
Lastpage :
116
Abstract :
Cloud computing and cloud forensics are probably the two most popular and debated IT topics in recent years, implying relevant technological and economic opportunities, the former, and open issues such as the ability to perform digital investigations in the cloud, the latter. In cloud forensics, the distributed nature of data processing in the cloud and the lack of physical access to digital artifacts on the server side represent, indeed, a serious concern for investigators and stakeholders, as traditional approaches to evidence collection and recovery may be no longer applicable. In this paper we discuss technical aspects of digital forensics in cloud computing environments and present results of a case study about user-cloud interaction, aimed at assessing whether existing digital forensics techniques are still applicable to cloud investigations. We conclude proposing a new methodology for automatic cloud-based artifact categorization as a future work.
Keywords :
cloud computing; digital forensics; user interfaces; IT topics; automatic cloud-based artifact categorization; cloud computing environments; cloud forensics; data processing; digital artifacts; digital forensics techniques; economic opportunities; evidence collection; evidence recovery; investigators; open issues; server side; stakeholders; technical aspects; technological opportunities; user-cloud interaction; Browsers; Cloud computing; Digital forensics; Google; Servers; SaaS applications; cloud computing; cloud forensics; digital forensics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2012 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-2624-7
Type :
conf
DOI :
10.1109/CyberC.2012.26
Filename :
6384952
Link To Document :
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