Review Techniques of Data Privacy in Cloud Using Back Propagation Neural Network
Devyani Bonde, Shaikh Akib, Pokharkar Shubhangi, Auti Surbhi, Shelke Satish · 2014
Back Propagation is the scheme for neural network learning. This learning accuracy gained by collaborative learning. In existing system support this kind of learning on limited dataset and between two parties. It cannot protect intermediate result. In our proposed system multiple parties perform collaborative learning on arbitrarily partitioned data using cloud computing. In which for privacy preservation each party send plain text to the cloud and cloud encrypt that text. In this way minimizing the computation and communication cost. To support the various operations over cloud we are using the different algorithm. In this way cloud show our learning scheme is secure. Keywords—Privacy Preserving, Neural network, Cloud computing, Back Propagation.