Privacy Preserving Computations Using Implicit Security

We present a new technique for privacy preserving computation using an implicit security model that has applications in cloud computing. In the proposed technique, data is divided into partitions and stored over independent cloud servers. When the user wishes to perform computations on the data, he sends a signal to the servers and the servers perform the required computations. We show that if the main data storage servers do not collude, the privacy of the user data is maintained. This can be guaranteed by the use of independent cloud providers. The proposed technique eliminates the requirement of key management, is efficient and practical.