期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：5
DOI：10.15680/ijircce.2015.0305052
出版社：S&S Publications
摘要：Computational resources and storage resources are shared under the cloud environment through theInternet. In cloud environment users‟ data are usually processed remotely in unknown machines that users do not ownor operate. Neural network techniques are used for the classification process. Collaborative Back-Propagation NeuralNetwork (BPNN) learning is applied over arbitrarily partitioned data. The participating parties and the cloud servers areinvolved in the privacy preserved mining process. Each participant first encrypts their private data and then uploads thecipher texts to the cloud. Cloud servers execute most of the operations in the learning process over the cipher texts.Secure scalar product and addition operations are used in the encryption and decryption process. The collaborativelearning process is handled without the Trusted Authority (TA). Key generation and issue operations are carried out ina distributed manner. Cloud server is enhanced to verify the user and data level details. Privacy preserved BPNNlearning process is tuned with cloud resource allocation process.
