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Efficient key cryptography based on Body Area Networks

机译:基于人体局域网的高效密钥密码学

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In order to reduce the amount of the data transformation and energy consumption in the key generation technology with biometric information, the Fuzzy Matching Curve (FMC) algorithm is proposed in Body Area Networks (BANs). We use a curve to fit these true points, transfer the parameters of the curve and achieve an efficient key cryptography scheme, while the Fuzzy Vault scheme hided the true points by adding randomly chaff points during the process of key generation. Experimental result shows that as compared to the encryption technology of Fuzzy Vault, the FMC algorithm not only reduces the amount of data required for generating the key and the computational complexity in a large extent, but also achieve real-time require in BANs.
机译:为了减少生物特征信息在密钥生成技术中的数据转换量和能源消耗,在人体局域网(BAN)中提出了模糊匹配曲线(FMC)算法。我们使用一条曲线来拟合这些真实点,传递曲线的参数并实现有效的密钥加密方案,而Fuzzy Vault方案通过在密钥生成过程中添加随机的箔条点来隐藏真实点。实验结果表明,与Fuzzy Vault的加密技术相比,FMC算法不仅在很大程度上减少了生成密钥所需的数据量和计算复杂度,而且还实现了BAN的实时性。

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