用于Hadoop平台的混沌加密研究与实现

In order to solve the shortcomings of the traditional serial encryption method in single machine mode, such as the low density of data security, the difficulty in encrypting-efficiency to meet the requirement of increasing information data encryption and the excessive amount of memory in the running process, and so on. This paper designed a scheme of chaotic encryption algorithm based on Hadoop platform. The scheme used MapReduce parallel framework, chaotic encryption pseudorandom number and the principle of initial value sensitivity. A parallel chaotic encryption scheme for MapReduce framework and chaotic encryption optimization is proposed. That is, using the length of the plaintext as the initial value, uses Chen, Lorenz, Rossler chaotic system to generate secret key. At the same time, A the idea of dividing plaintext data into blocks according to 1Mb was proposed. According to the offset, each block can be judged to generate three key sequences of Chenn Lorenzl Rossler whose length is 1Mb. To improve the security of data density, reduce the amount of running memory and other purposes. In this design framework, Chen sequence is used for plaintext messing operation, Lorenz sequence is used for XOR diffusion operation and Rossler sequence is used for modular auxiliary diffusion operation. Experiments have proved that, for MapReduce, The optimization algorithm of using parallel framework and chaotic system can effectively reduce the amount of memory and improve the encryption speed, and the encryption operation associated with plaintext achieves the purpose of effectively defending against the attack of selected plaintext.