云计算网络数据库中的加密优化模型仿真分析

针对云计算网络数据库中大数据加密耗时长的弊端,提出一种新的并行同态加密(DGHV)方案。在云计算网络环境下,采用DGHV同态加密算法进行初步数据加密,并对加密过程产生的噪声进行去噪处理。引入MapReduce计算框架的并行特性,使用分块算法对云环境中的大数据进行分割,并采用同态算法进行加密,最后将加密后的密文块汇总,得到整个数据库中的密文。实验结果表明,通过相同的实验平台对云环境网络数据进行加密优化。相比较其他方法针对大数据的处理的加速比较高,能够有效地减少加密时间。

Network database encryption optimization model simulation analysis of cloud computing

In view of the cloud computing network database cuhk data encryption takes long malpractices. Put forward a new parallel homomorphic encryption (DGHV) solution. In cloud computing under the network environment, the use of DHGV homomorphic encryption algorithm carries on the preliminary data encryption, and the noise produced by the encryption process to deal with the noise. Introduce graphs parallel characteristic of computing framework, using block segmentation algorithm to big data in the cloud environment, and USES the homomorphism encryption algorithm, the last piece of summary of encrypted cryptograph, get the cipher text in the database. The experimental results show that, through the same experiment platform network data encrypt optimization in the cloud environment. Compared with other methods in view of the large data processing speed is higher, can effectively reduce the encryption time.