基于多层前馈神经网络的分组密码设计  

DESIGN OF BLOCK CIPHER BASED ON MULTY-LAYER FEED-FORWARD NEURAL NETWORK

作　　者：成旭[1] 张白一[1] 

机构地区：[1]长安大学信息工程学院,陕西西安710064

出　　处：《计算机应用与软件》2008年第6期265-268,共4页Computer Applications and Software

摘　　要：基于多层前馈神经网络的特性和分组密码的设计原则,构造了一种分组密码的数学模型,并用一个两层前馈网络具体实现了该分组密码体制。通过仿真,说明了该分组密码体制是可行的;通过对其安全性进行分析并与DES相比较,说明该分组密码体制具有较高的安全性,具有很好的混乱特征和扩散特征,并易于实现。This article introduces the construction of the mathematical model of a block cipher based on the feature of multi-layer feed-forward NN and on the block cipher design principle, and a particular implementation of the block cipher system on a two-layer feed-forward network. The simulation indicated that the system is feasible. By the analyses of its security and in comparison with DES the block cipher system presented a high degree of security and was good at its confusion and diffusion features as well as to be easily implemented.

关 键 词：分组密码 加密 解密 前馈神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TN918.4[自动化与计算机技术—控制科学与工程]