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In the era of big data processing, it is desirable to manage large volumes of data with high scalability, confidentiality protection, and flexible types of search queries. In this paper, we propose a design to store encrypted data on a cluster of distributed servers while supporting secure and authorized Boolean queries. In particular, the data owner encrypts the database with encrypted searchable...
Similarity-oriented services serve as a foundation in a wide range of data analytic applications such as machine learning, target advertising, and real-time decisions. Both industry and academia strive for efficient and scalable similarity discovery and querying techniques to handle massive, complex data records in the real world. In addition to performance, data security and privacy become an indispensable...
Modern distributed key-value stores are offering superior performance, incremental scalability, and fine availability for data-intensive computing and cloud-based applications. Among those distributed data stores, the designs that ensure the confidentiality of sensitive data, however, have not been fully explored yet. In this paper, we focus on designing and implementing a scalable, private, and searchable...
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