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- W3137182012 abstract "Recently, biometric data plays an important role as an identity authentication technique. Biometric authentication considered a promising technology used across multiple systems to provide a reliable verification. However, designing a biometrics authentication system that are effectively secure in the cloud environment remains a research challenge. In this research, we aim to handle privacy and security issue of biometrics data (i.e. fingerprints) in the cloud by proposing BioStash algorithm. BioStash algorithm achieves high-level of security and privacy by applying triple security layers. First, BioStash algorithm transforms and encrypts user's fingerprint data. Then, BioStash embeds a shared secret key inside the encrypted fingerprint. At the final layer, BioStash algorithm distributes all the shares over multiple clouds. During fingerprint matching process, BioStash matches the fingerprints in their secure encoded form without decoding the data in order to preserve the privacy. In addition, BioStash uses multithreading to handle multi-shares over multiple clouds in parallel. The experimental results show that BioStash system has a faster matching time while achieves comparable accuracy compared to the baselines. Further, we proved that our proposed system provides a promising solution to improve privacy and security of fingerprint data in the cloud." @default.
- W3137182012 created "2021-03-29" @default.
- W3137182012 creator A5090252343 @default.
- W3137182012 date "2018-01-01" @default.
- W3137182012 modified "2023-09-24" @default.
- W3137182012 title "BIOSTASH: TRIPLE SECURITY FOR ENCODED MATCHING OF FINGERPRINT DATA IN THE CLOUD" @default.
- W3137182012 hasPublicationYear "2018" @default.
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