大数据加密算法在数据安全保护中的应用研究

Research on Power Safety Appliance Supervision Based on Ubiquitous Power Internet of Things Technology

摘要:

针对大数据加密算法安全性不高,计算效率低等问题,本研究采用双混沌系统结合改进AES加密算法设计出一个混合加密算法,改进AES算是利用仿射变换对(A7、6F)生成新的S盒,采用的双四维超混沌系统是从两个三维混沌系统进行改造而成,然后利用改造后的超混沌系统生成混沌序列,设计出一个分组加密方案,在Hadoop大数据平台上,将双超混沌加密方案和改进的AES算法进行合并。试验表明,本研究的大数据加密算法安全性能高、密钥空间大,加密解密效率高。

Abstract:

Aiming at the problems of low security of big data encryption algorithm and low computational efficiency, this study uses a double chaos system combined with an improved AES encryption algorithm to design a hybrid encryption algorithm. The improved AES can be regarded as using affine transformation pairs (A7, 6F) to generate new S-box, the dual four-dimensional hyperchaotic system adopted is transformed from two three-dimensional chaotic systems, and then the transformed hyperchaotic system is used to generate a chaotic sequence, and a block encryption scheme is designed. On the Hadoop big data platform, the double The hyperchaotic encryption scheme and the improved AES algorithm are combined. Experiments show that the big data encryption algorithm in this study has high security performance, large key space, and high encryption and decryption efficiency.