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- W3180412601 abstract "Blockchain has emerged as a leading technology that ensures security in a distributed framework. Recently, it has been shown that blockchain can be used to convert traditional blocks of any deep learning models into secure systems. In this research, we model a trained biometric recognition system in an architecture which leverages the blockchain technology to provide fault tolerant access in a distributed environment. The advantage of the proposed approach is that tampering in one particular component alerts the whole system and helps in easy identification of `any' possible alteration. Experimentally, with different biometric modalities, we have shown that the proposed approach provides security to both deep learning model and the biometric template." @default.
- W3180412601 created "2021-07-19" @default.
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- W3180412601 date "2020-07-31" @default.
- W3180412601 modified "2023-09-24" @default.
- W3180412601 title "Securing CNN Model and Biometric Template using Blockchain" @default.
- W3180412601 doi "https://doi.org/10.48550/arxiv.2008.00054" @default.
- W3180412601 hasPublicationYear "2020" @default.
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