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  5. Towards the Forensic Identification and Investigation of Cloud Hosted Servers through Non-invasive Wiretaps
 
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Towards the Forensic Identification and Investigation of Cloud Hosted Servers through Non-invasive Wiretaps

Author(s)
Schut, Hessel  
Scanlon, Mark  
Farina, Jason  
Le-Khac, Nhien-An  
Uri
http://hdl.handle.net/10197/7408
Date Issued
2015-08-27
Date Available
2016-01-25T11:07:44Z
Abstract
When conducting modern cybercrime investigations, evidence has often to be gathered from computer systems located at cloud-based data centres of hosting providers. In cases where the investigation cannot rely on the cooperation of the hosting provider, or where documentation is not available, investigators can often find the identification of which distinct server among many is of interest difficult and extremely time consuming. To address the problem of identifying these servers, in this paper a new approach to rapidly and reliably identify these cloud hosting computer systems is presented. In the outlined approach, a handheld device composed of an embedded computer combined with a method of undetectable interception of Ethernet based communications is presented. This device is tested and evaluated, and a discussion is provided on its usefulness in identifying of server of interest to an investigation.
Type of Material
Conference Publication
Publisher
IEEE
Start Page
249
End Page
257
Copyright (Published Version)
2015 IEEE
Subjects

Cloud computing

Digital forensics

Noninvasive wiretaps

DOI
10.1109/ARES.2015.77
Language
English
Status of Item
Peer reviewed
Conference Details
2015 10th International Conference on Availability, Reliability and Security (ARES 2015), Toulouse, France, 24 - 27 August 2015
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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TowardsTheForensicIdentificationAndInvestigationOfCloudHostedServers.pdf

Size

2.09 MB

Format

Adobe PDF

Checksum (MD5)

01bddf9447c2eecc2ceae79d38cd959e

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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