摘要
针对用户隐私数据存储加密系统存储空间有限,密钥算法简单,采用传统方法时,经过加密的公钥很容易破解,数据存在安全隐患,另外私钥存放在TPM内部,导致数据加密时间较长,用户使用不便。提出基于混沌自逆矩阵用户隐私数据加密算法,在不改变原始数据数值状态下,通过对用户隐私数据结构改变,构造出自逆矩阵建立初始密钥,根据初始密钥置乱数据维度,构建置乱矩阵,以不规则扩散形成隐私数据最终密钥。仿真结果证明,改进方法比传统方法的综合性能大大提高,改善了原有的加密系统加密处理时间长,易破解,加密频率低等缺点。改进算法解决了弊端,提高了大数据环境下用户隐私数据的安全性,避免了数据被破解的隐患。
An encryption algorithm for user privacy data is proposed based on chaotic inverse matrix,numerical mode. Without changing the original data,through the change of user privacy data structure,the inverse matrix is constructed to establish the initial key. According to the scrambling data dimensions of the initial key,the scrambling matrix is constructed,and the privacy data key is formed via the irregular diffusion. Simulation result proves that the improved method is better than the traditional method in comprehensive performance,which can overcome the shortcomings in the traditional method,such as long encryption processing time,easy to crack,and low encryption frequency. The proposed method can raise the security of user privacy data under big data environment.
出处
《计算机仿真》
CSCD
北大核心
2016年第2期465-468,共4页
Computer Simulation
关键词
大数据环境
隐私数据
存储方法
Big data environment
Private data
Storage methods
