论文标题
使用区块链确保CNN模型和生物特征模板
Securing CNN Model and Biometric Template using Blockchain
论文作者
论文摘要
区块链已成为一项领先的技术，可确保在分布式框架中安全。最近，已经表明，区块链可用于将任何深度学习模型的传统区块转换为安全系统。在这项研究中，我们将训练有素的生物识别识别系统建模，该体系结构利用区块链技术在分布式环境中提供可容忍的访问。提出的方法的优点是，在一个特定的组件中篡改会提醒整个系统，并有助于轻松识别“任何可能的更改”。在实验上，我们已经以不同的生物识别方式表明，所提出的方法为深度学习模型和生物识别模板提供了安全性。
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.
