摘要
针对智能交通系统中的大数据分布式存储过程中分布均衡度较低、安全性差等问题,提出面向智能交通系统的大数据分布式存储算法。利用云存储架构构建大数据分布式存储模型及三层数据存储层次,通过上层的数据高度访问、中层数据连接以及下层的数据归档,依据设定的已知数据粒度、机率以及弹性,计算数据存储强度以及层次,实现大数据存储。通过超混沌算法重排编码,并通过非线性向量量化方法实现大数据同态融合加密,构建加密、解密密钥,完成已存储大数据加密防护。经实验验证,上述算法存储过程中分布均衡度较高、负载均衡性较低;读/写数据的时间低,大数据分布式存储性能稳定;数据加密抗攻击性较高,能够实时加密防护存储大数据。
For improving the distribution balance and security of big data distributed storage process in intelligent transportation system, a big data distributed storage algorithm for intelligent transportation system is proposed in this paper. Cloud storage architecture was introduced to build a big data distributed storage model and three-tier data storage layers(upper data access, middle data connection and lower data archiving). Data granularity, probability and elasticity were applied to calculate data storage strength and hierarchy, thus completing big data storage. Hyperchaotic algorithm was introduced to de rearrange coding. According to the quantization of nonlinear vector, big data homomorphic fusion encryption was realized, completing the encryption protection of stored big data. The experimental results show that the above algorithm has high distribution balance and low load balance in the storage process;The time of reading/writing data is low, and the performance of big data distributed storage is stable;Data encryption has high anti attack performance and can encrypt and protect large data in real time.
作者
王涛涛
姚磊岳
WANG Tao-tao;YAO Lei-yue(College of Information Engineering,Jiangxi University of Technology,Nanchang Jiangxi 330098,China;College of Information Engineering,Nanchang University,Nanchang Jiangxi 330098,China)
出处
《计算机仿真》
北大核心
2022年第1期138-142,共5页
Computer Simulation
基金
江西省教育厅科技计划项目(GJJ180970)。
关键词
智能交通系统
大数据
分布式存储
数据弹性
密钥
同态融合加密
Intelligent transportation system
Big data
Distributed storage
Data elasticity
The secret key
Homomorphic fusion encryption
