Towards Establishing Trust in Public Clouds through Real-time Client Feedback
Published: 2013
Author(s) Name: Deepak Shukla, Jogesh K Muppala, Subrota K Mondal, Pranit Patil |
Author(s) Affiliation: Hong Kong University of Science & Technology, Hong Kong, China
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Abstract
Cloud computing, owing to its vast array of
technological and commercial benefits, is being
aggressively adopted by companies worldwide to meet
their computing needs. Virtualization technology is
the main enabler of cloud computing services making
it economical and scalable for end-users. However,
on the contrary, cloud services due to their inherent
abstract nature pose significant security threats for
user’s data and applications; the most critical threat
being the “malicious insider’s threat” - the primary
reason for lack of trust between a Cloud provider
and its customers. In this paper, we analyze a cloud
provider’s basic internal operations required to provide
IaaS services in order to understand and address
the insider threat.Towards this goal, we inspect the
virtualization stack and all the basic VM operations, the
role of a cloud system administrator, their interactions
with the virtualization ecosystem and therefore identify
the scope of their possible malicious activities. We then
review the present mechanisms that are adopted to
implement trust in Clouds. Finally, we propose a Real-
Time Client Feedback System (RTCFS)in the context
of preventive and detective control in securing trust,
aimed at increasing visibility and transparency for
customers into public Clouds.We also suggest the use
of job segregation for cloud administrators in order to restrict their individual capabilities to a minimal level.
Both these mechanisms can help fill in the trust gap
between a cloud provider and its customers.
Keywords: Virtualization, Malicious Insider, Preventive Control, Detective Control, RTCFS, Job Segregation, Transparency, Trust, Logging
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