An Efficient Approach to Forensic Investigation in Cloud Using VM Snapshots

Authors(5) :-Soleha Magdum, Nikhil Kandula, Tejal Adep, Harshali Shinde, A. S. Khandagle

Cloud computing has recently emerged as a technology to allow users/clients to access infrastructure, storage, software and deployment environment based on a pay-for-what-they-use model. Traditional digital forensics cannot handle the multi-tenant and dynamic nature of the cloud environment as it has to address various technical, legal, and organizational challenges pertaining to the cloud systems. The dynamic nature of cloud computing gives abundant opportunities to enable digital investigations in the cloud environment. This paper addresses the challenges of digital forensics in the cloud environment and existing solutions to ease some of the challenges. We propose an efficient approach to forensic investigation in cloud using Virtual Machine (VM) snapshots.

Authors and Affiliations

Soleha Magdum
AISSMS Polytechnic, Pune, Maharashtra, India
Nikhil Kandula
AISSMS Polytechnic, Pune, Maharashtra, India
Tejal Adep
AISSMS Polytechnic, Pune, Maharashtra, India
Harshali Shinde
AISSMS Polytechnic, Pune, Maharashtra, India
A. S. Khandagle
AISSMS Polytechnic, Pune, Maharashtra, India

Digital Forensics, Cloud Computing, Virtual Machine (VM), Cloud Service Provider (CSP), Intrusion Detection System (IDS)

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1141-1144
Manuscript Number : CSEIT1726312
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Soleha Magdum, Nikhil Kandula, Tejal Adep, Harshali Shinde, A. S. Khandagle, "An Efficient Approach to Forensic Investigation in Cloud Using VM Snapshots ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.1141-1144, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726312

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