细胞神经网络联想记忆安全存储研究综述

生物特征识别是热门研究领域，在人们生产生活中广泛应用，而生物特征识别数据泄露事件频繁发生，其安全问题倍受关注。现有的嵌入式存储、本地服务端存储和云端存储在一定程度上都存在安全问题。随着细胞神经网络联想记忆的发展，其在生物特征数据安全存储识别方面的应用得到极大发展。分析现有生物特征识别的安全问题，阐述细胞神经网络结构模型及稳定性优化方法，介绍其在生物特征安全存储识别方面的应用，指出细胞神经网络在生物特征安全识别中面临的问题。

Research Review of the Safe Storage of Associative Memory Based on Cellular Neural Networks

Biometric recognition is a hot research field and widely applied in people’s production and life. In recent years， due to the frequent occurrence of information leakage affairs， its security issues have attracted much attention. The existing embedded storage， local server storage and cloud storage， to a certain extent，suffer from security problems. With the further development of cellular neural network associative memory， great progress has been made in the secure storage and recognition of biometric data. This paper analyzes the security problems existing in present biometric recognition， expounds the structural model of cellular neural network and the optimization method of stability， introduces its application in biometric secure storage and recognition， and points out the problems of cellular neural network in biometric security recognition.