Identifying Evidence for Implementing a Cloud Forensic Analysis Framework

Published

September 28, 2017

Author(s)

Changwei Liu, Anoop Singhal, Duminda Wijesekera

Abstract

Cloud computing provides several benefits to organizations such as increased flexibility, scalability and reduced cost. However, it provides several challenges for digital forensics and criminal investigation. Some of these challenges are the dependence of forensically valuable data on the deployment model, multiple virtual machines running on a single physical machine and multiple tenancies of clients. In this paper, we show what evidence from the cloud would be useful to construct the attack scenario by using a Prolog logic based forensic analysis tool. We propose to implement and design a forensic enabled cloud, which includes installing forensic tools in the cloud environment and logging all the activities from both the application layer and lower layers. Such an implementation can provide evidence for a Prolog based forensic tool, which can automate correlating the evidence from both the clients and the cloud service provider to construct attack steps and therefore re-create the attack scenarios on the cloud.

Proceedings Title

Advances in Digital Forensics XIII

Conference Dates

January 30-February 1, 2017

Conference Location

Orlando, FL, US

Conference Title

Thirteenth IFIP WG 11.3 International Conference on Digital Forensics

Pub Type

Conferences

Download Paper

https://doi.org/10.1007/978-3-319-67208-3_7

Local Download

Keywords

Attack Graphs, Digital Forensic Analysis, Evidence Graphs, Cloud Computing

Citation

Liu, C. , Singhal, A. and Wijesekera, D. (2017), Identifying Evidence for Implementing a Cloud Forensic Analysis Framework, Advances in Digital Forensics XIII, Orlando, FL, US, [online], https://doi.org/10.1007/978-3-319-67208-3_7, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922187 (Accessed November 21, 2024)