基于MapReduce的并行混合混沌加密方案

Parallel mixed chaotic encryption scheme on MapReduce

为了解决云环境中大数据量加密速度慢的问题,针对云计算环境中多节点的特点,结合混沌加密和MapReduce并行框架,提出一种并行混合混沌加密方案。通过对明文数据进行分组,在分组加密初始化时,混合三维Lorenz混沌系统和Chen混沌系统产生用于加密混沌系统的初值和干扰值,在加密过程中再次混合Henon映射和2D Logistic混沌映射,通过产生的混沌序列和干扰值对明文进行加密。实验结果表明,基于MapReduce的并行混合混沌加密技术能够在96个核的集群中提升360%的加密速度,减少81.2%的加密时间。

Aiming at addressing the encryption time consumption problem, in view of the considerable clusters in cloud envi- ronment, this paper proposed a parallel mixed chaotic encryption scheme combining the chaotic encryption technique and Map- Reduce framework. The algorithm divide the plaintext into blocks. It employed the chaotic system mixed by three dimension Lorenz and Chen map to generate the initial value of encryption chaotic map and the disturb value in the initialization process. It computed the block cipher by the sequence value of two dimension chaotic map which denoted the Henon map and 2D Logis- tic map and then the disturb value boosted the security of cipher. The experiment results show that in the cluster with 96 cores, the algorithm will speed up to 36 times and respectively reduce 81.2% encryption time.