Secure hash function based on neural network
Secure hash function based on neural network
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DOI：
10.1016/j.neucom.2006.04.003
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发表时间：
2006-10
期刊：
影响因子：
6
通讯作者：
Shiguo Lian;Jinsheng Sun;Zhiquan Wang
中科院分区：
文献类型：
--
作者：
Shiguo Lian;Jinsheng Sun;Zhiquan Wang
基于三层神经网络构造了一个哈希函数。三层神经元分别实现了数据的混淆、扩散和压缩，并提出了支持变长明文的多块哈希模式。理论分析和实验结果表明，该散列函数是单向的，具有较高的密钥敏感性和明文敏感性，并且能够抵抗生日攻击和中间相遇攻击。另外，神经网络的特性使得它可以以并行的方式实现。这些属性使其成为数据签名或身份验证的合适选择。
A hash function is constructed based on a three-layer neural network. The three neuron-layers are used to realize data confusion, diffusion and compression, respectively, and the multi-block hash mode is presented to support the plaintext with variable length. Theoretical analysis and experimental results show that this hash function is one-way, with high key sensitivity and plaintext sensitivity, and secure against birthday attacks or meet-in-the-middle attacks. Additionally, the neural network's property makes it practical to realize in a parallel way. These properties make it a suitable choice for data signature or authentication.