A Method Of Data Obfuscation Based On Monte Carlo Random Monotone Function

With the Extension and application of cloud computing, users are more inclined to store data in the cloud. Hence the user data privacy protection have become important issues to be solved urgently. Encryption is an effective way to protect privacy, but encryption has a great impact on the performance of data processing. Encrypted data are often lost maneuverability. To cope with this problem, in this paper, a method is being proposed for protecting user data, which can not leakage the privacy of users, meanwhile restore the data quickly to reduce the impact of encryption operations on system performance. Compared with the experimental results, the running time of this method is much lower than that of symmetric encryption and decryption. Data can be quickly confused and restructured. Meanwhile, it doesn't lessen the maneuverability of the data.