Cloud-ID-Screen: Secure fingerprint data in the cloud

摘要

Biometrie data plays an important role today as an identity authentication tool. However, designing an efficient and secure biometrics authentication scheme in the cloud environment remains a research challenge. To address the security issue ofbiometric data in the cloud, we propose Cloud-ID-Screen scheme. Cloud-ID-Screen utilizes low-cost cloud storage and scalable cloud computation to improve security and privacy, as well as process speed. Cloud-ID-Screen achieves this improvement by splitting fingerprint features into small subsets and distributing these small subsets into multiple clouds simultaneously, where no single cloud stores all subsets of a fingerprint. During the matching operation, Cloud-ID-Screen utilizes a parallel processing tool (e.g. Hadoop) to match each subset of the fingerprint features independent and in parallel to maintain security and improve process speed. Our experiments show that Cloud-ID-Screen achieves comparable accuracy in matching while being statistically significantly faster as compared to the baseline.