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Title:
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A MECHANISM FOR PRESERVING PRIVACY IN FEDERATED CLOUD IDMS |
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Author(s):
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Charlie Y. Shim, Injoo Kim, Yeongkwun Kim |
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ISBN:
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978-989-8533-56-2 |
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Editors:
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Hans Weghorn |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Cloud computing; federated identity management; privacy |
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Type:
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Short Paper |
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First Page:
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205 |
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Last Page:
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210 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Federated identity management systems (IDMS) adopted in a cloud computing environment face a major security concern, especially with regards to privacy issues. Despite its reputation in the IT industry, the federated cloud IDMS is still expected to overcome major drawbacks in privacy issues. The federated cloud IDMS was popularized for its advantages in supporting cross-organizational boundaries without creating additional user accounts. However, this advantage of using the same identity information without creating additional user accounts in a cloud computing environment can expose the federated cloud IDMS to the risk of revealing comprehensive user profile information, such as usage pattern, interests, or the behavior of the user. In this paper, we identify possible privacy issues of the federated cloud IDMS by use of the same single user identity information and subsequently discuss ways in which this privacy can be preserved. |
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