DocumentCode :
1881188
Title :
Scenario-based design for a cloud forensics portal
Author :
Jackson, Curtis ; Agrawal, Rajeev ; Walker, Jessie ; Grosky, William
Author_Institution :
Dept. of Comput. Syst. Technol., North Carolina A & T State Univ., Greensboro, NC, USA
fYear :
2015
fDate :
14-16 April 2015
Firstpage :
1
Lastpage :
6
Abstract :
Cloud computing continues to transform how we address security challenges in closed and private networks. Given the advanced functionality offered by cloud computing, network monitoring and digital forensics efforts are potentially detectable and service interruptive which affects the effectiveness and thoroughness of digital forensic methods. Virtualization, the cost-effective delivery platform for clouds and data centers, provides an opportunity for Virtual Machine Introspection (VMI) through the hypervisor. VMI would be an environment to monitor the activity of a Virtual Machine (VM). In this paper, we propose a multi-phase scenario-based design concept within an open source virtualized environment to collect data to validate the hypervisor´s ability to provide a portal for threat monitoring that is effective, undetectable, and non-interruptive.
Keywords :
cloud computing; computer centres; digital forensics; public domain software; virtual machines; virtualisation; VMI; closed networks; cloud computing; cloud forensics portal; cost-effective delivery platform; data centers; digital forensics efforts; hypervisor; multiphase scenario-based design concept; network monitoring; open source virtualized environment; private networks; scenario-based design; security challenges; threat monitoring; virtual machine introspection; virtualization; Computers; Forensics; Malware; Monitoring; Virtual machine monitors; Virtual machining; Virtualization; Cloud; Forensics; Scenario-based; Virtual Machine Monitor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies for Homeland Security (HST), 2015 IEEE International Symposium on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4799-1736-5
Type :
conf
DOI :
10.1109/THS.2015.7225260
Filename :
7225260
Link To Document :
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