Toward secure sensitive data in the cloud
Cloud storage and computation have many exciting features such as low cost, scalability, and unbounded resources. These features attract many individuals and organizations to migrate their sensitive data, including biometric data, to the cloud. However, security and privacy are major concerns in the cloud, especially within a single cloud, due to issues such as availability, key management, insider attacks, brute-force attacks, and privacy concerns. These issues become more challenging in the cloud, especially when dealing with sensitive data such as biometric data. This dissertation addresses ...
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