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- W2963396738 abstract "Biometric authentication over cloud and network applications demands a wide range of solutions against increasing cyber crimes and digital identity thefts. This work addresses security and privacy issues of network/cloud based remote biometric authentication where a number of applications are hosted over different servers. The proposed framework combines the benefits of cancelable pseudo-biometric identities and advance protection using secret sharing. Random Distance Method is used to generate privacy preserving, non-invertible, revocable, and dimensionally reduced pseudo-biometric identities. Its performance is compared with some recent state-of-art techniques. Multiple pseudo-identities generated from the same biometric can prevent cross-matching and other database attacks, and allow user to operate safely on diverse applications. A share distribution model for multiple servers is developed and authentication protocols are designed to maintain user-anonymity, session key agreement, and prevent transmission attacks like replay, ARM, MIMA, database, and server-spoofing." @default.
- W2963396738 created "2019-07-30" @default.
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- W2963396738 date "2020-01-01" @default.
- W2963396738 modified "2023-10-10" @default.
- W2963396738 title "Privacy preserving remote multi-server biometric authentication using cancelable biometrics and secret sharing" @default.
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- W2963396738 doi "https://doi.org/10.1016/j.future.2019.07.023" @default.
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