基于云计算模型的分数阶超混沌加密算法

针对大数据安全以及混沌加密安全性等问题，提出了一种基于云计算模型的分数阶超混沌系统的加密算法。首先选取了两个分数阶超混沌系统的初始值作为密钥参数，基于分数阶混沌生成用于加密的伪随机序列，进而提出了一个结合云计算MapReduce并行数据处理模型的加密算法。在MapReduce并行加密方面，依次进行分块、Map并行加密和Reduce数据归并等操作。为了抵御明文类的密码攻击，算法中采用与明文特征关联的混沌序列生成方法。最后，在云计算实验环境中的实验结果表明，该算法的密钥空间达到372 bit,能够有效抵御明文类的密码攻击，具有密钥高度敏感的特性。同时，实验结果验证了云计算MapReduce并行加密的有效性。

Fractional-order Hyperchaotic Encryption Algorithm Based on Cloud Computing Model

To address the issues of big data security and chaotic encryption security, this paper proposes a fractional-order hyperchaotic encryption algorithm based on the cloud computing model. Firstly, the initial values of the two fractional-order hyperchaotic systems are served as key parameters, and pseudo-random sequences are generated for encryption based on fractional-order chaos, and then an encryption algorithm that combines the MapReduce parallel data processing model of cloud computing is proposed. For MapReduce parallel encryption, operations such as chunking, Map parallel encryption and Reduce data merging are performed sequentially. To resist plaintext-type cryptographic attacks, a chaotic sequence generation method associated with plaintext features is used in the algorithm. Finally, the experimental results in the cloud computing experimental environment show that the algorithm has a key space of 372 bit, which can effectively resist plaintext-type cryptographic attacks with highly sensitive keys. Meanwhile, the experimental results verify the effectiveness of MapReduce parallel encryption for cloud computing.