一种奇异值填充加密的大数据量化编码方法  

A big data quantization coding method based on singular value filling encryption

作　　者：米捷[1] 刘道华[2] MI Jie;LIU Daohua(College of Computer Science,Henan University of Engineering,Zhengzhou 451191,China;College of Computer and Information Technology,Xinyang Normal University,Xinyang 464000,China)

机构地区：[1]河南工程学院计算机学院,河南郑州451191 [2]信阳师范学院计算机科学与技术学院,河南信阳464000

出　　处：《河南工程学院学报（自然科学版）》2018年第1期75-80,共6页Journal of Henan University of Engineering：Natural Science Edition

基　　金：河南省高等学校重点科研项目(16A520004)

摘　　要：在大数据传输的公钥密码体制中,为了提高密文抵御短明文攻击的能力,提出了一种基于奇异值有限域填充加密的网络链路层大数据传输量化编码算法.对链路传输层的比特序列进行线性分段处理,采用多次重传机制进行大数据嵌入式自适应编码,采用奇异值分解方法进行加密密文的信源编码设计.利用伪随机序列构造量化编码密钥,在奇异值有限域中构造密钥协商协议,输入密钥敏感性参数,将公钥嵌入主密钥分布的有限域中,填充密钥中心的敏感域参数,实现加密比特序列的量化编码.仿真结果表明,采用该方法进行大数据传输的加密编码,密文的抗攻击能力较强,加密比特序列的泄漏概率较低,具有更高的安全性.In the public key cryptosystem in data transmission,in order to enhance the ability to withstand short ciphertext plaintext attack,a quantization coding algorithm for large data transmission in network link layer is proposed based on singular value finite field filling encryption.The bit sequence of link layer of the linear segment processing,the number of retransmission mechanism for large encoding the embedded data adaptive,using singular value decomposition method for design of source encoding encrypted ciphertext.Using pseudo-random sequence encoding key value structure,key agreement protocol structure in finite domain in the singular input key sensitivity parameters,the public key is embedded into the finite domain master key distribution,sensitive domain parameter filled key center,implementation encoding bit sequence encryption.The simulation results show that the encoding of data transmission encryption by using this method,the ciphertext anti-attack capability is strong,encryption leakage probability of bit sequence is low,and it has higher security.

关 键 词：大数据 奇异值分解 密文 量化编码 明文攻击 密钥 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]