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Cloud computing & confidentiality

Kok, Guido (2010) Cloud computing & confidentiality.

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Abstract:Cloud computing is an upcoming paradigm that offers tremendous advantages in economical aspects, such as reduced time to market, flexible computing capabilities, and limitless computing power. To use the full potential of cloud computing, data is transferred, processed and stored by external cloud providers. However, data owners are very skeptical to place their data outside their own control sphere. This thesis discusses to which degree this skepticism is justified, by presenting the Cloud Computing Confidentiality Framework (CCCF). The CCCF is a step-by-step framework that creates mapping from data sensitivity onto the most suitable cloud computing architecture. To achieve this, the CCCF determines first of all the security mechanisms required for each data sensitivity level, secondly which of these security controls may not be supported in certain computing environments, and finally which solutions can be used to cope with the identified security limitations of cloud computing. The most thorough security controls needed to protect the most sensitive data may not be guaranteed in public cloud computing architectures, while they can be realized in private cloud computing architectures. As the most promising cloud computing approach, this thesis suggests selective cloudbursting, which acts as a hybrid cloud model with selective data transfers between public and private clouds.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
Link to this item:http://purl.utwente.nl/essays/61039
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