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- W2798620099 abstract "While working in collaborative team elsewhere sometimes the federated (huge) data are from heterogeneous vendors. It is not only about the data privacy concern but also about how can those federated data can be querying from directly in fast and securely way. Previous solution offered hybrid between public and trusted private cloud. Another previous solution used encryption on MapReduce framework. But the challenge is we are working on heterogeneous clouds. In this paper, we present a novel technique for querying with privacy concern. Since we take execution time into account, our basic idea is to use the data mining model by partitioning the federated databases in order to reduce the search and query time. By using model of the database it means we use only the summary or the very characteristic patterns of the database. Modeling is the Preserving Privacy Stage I, since by modeling the data is being symbolized. We implement encryption on the database as preserving privacy Stage II. Our system, called (stands for cloud SELENE), is designed to handle federated data on heterogeneous clouds: AWS, Microsoft Azure, and Google Cloud Platform with MapReduce technique. In this paper we discuss preserving-privacy system and threat model, the format of federated data, the parallel programming (GPU programming and shared/memory systems), the parallel and secure algorithm for data mining model in distributed cloud, the infrastructure/architecture, and the UIX design of the cSELENE system. Other issues such as incremental method and the secure design of architecture system (Virtual Machines across platform design) are still open to discuss. Our experiments should demonstrate the validity and practicality of the proposed high performance computing scheme." @default.
- W2798620099 created "2018-05-07" @default.
- W2798620099 creator A5014263167 @default.
- W2798620099 date "2018-05-02" @default.
- W2798620099 modified "2023-09-27" @default.
- W2798620099 title "cSELENE: Privacy Preserving Query Retrieval System on Heterogeneous Cloud Data." @default.
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- W2798620099 hasPublicationYear "2018" @default.
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