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Securely Launching Virtual Machines on Trustworthy Platforms in a Public Cloud
RISE., Swedish ICT, SICS.ORCID-id: 0000-0003-3223-4234
RISE., Swedish ICT, SICS, Security Lab.ORCID-id: 0000-0001-8003-200x
RISE., Swedish ICT, SICS, Computer Systems Laboratory.ORCID-id: 0000-0001-6173-599x
2012 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In this paper we consider the Infrastructure-as-a-Service (IaaS) cloud model which allows cloud users to run their own virtual machines (VMs) on available cloud computing resources. IaaS gives enterprises the possibility to outsource their process workloads with minimal effort and expense. However, one major problem with existing approaches of cloud leasing, is that the users can only get contractual guarantees regarding the integrity of the offered platforms. The fact that the IaaS user himself or herself cannot verify the provider promised cloud platform integrity, is a security risk which threatens to prevent the IaaS business in general. In this paper we address this issue and propose a novel secure VM launch protocol using Trusted Computing techniques. This protocol allows the cloud IaaS users to securely bind the VM to a trusted computer configuration such that the clear text VM only will run on a platform that has been booted into a trustworthy state. This capability builds user confidence and can serve as an important enabler for creating trust in public clouds. We evaluate the feasibility of our proposed protocol via a full scale system implementation and perform a system security analysis.

Ort, förlag, år, upplaga, sidor
2012, 12.
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:ri:diva-23987OAI: oai:DiVA.org:ri-23987DiVA, id: diva2:1043066
Konferens
International Conference on Cloud Computing and Services Science, CLOSER 2012
Projekt
TESPEVSTillgänglig från: 2016-10-31 Skapad: 2016-10-31 Senast uppdaterad: 2023-05-25Bibliografiskt granskad

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Aslam, MudassarGehrmann, ChristianRasmusson, Lars

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Aslam, MudassarGehrmann, ChristianRasmusson, Lars
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Data- och informationsvetenskap

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