Abstract: An electronic storage system and a method of data management includes the steps of: partitioning source data into a plurality of portions of data; storing each of the plurality of portions of data in each of a plurality of storage peers respectively; and storing a plurality of indices in a plurality of storage peers; wherein each of the plurality of indices corresponds to each respective portion of partitioned data; and wherein each of the plurality of storage peers is arranged to store the plurality of indices and the plurality of portions of data in corresponding pairs.

Abstract: Systems and methods which provide secure queries with respect to encrypted datasets are described. Embodiments provide privacy-assured similarity join techniques operable with large-scale encrypted datasets. A privacy-assured similarity join technique of embodiments enables a storage system to answer similarity join queries without learning the content of the query dataset and the target dataset. One or more secure query schemes may be implemented in accordance with a privacy-assured similarity join technique herein. For example, embodiments may utilize an individual similarity query scheme, a frequency hiding query scheme, and/or a result sharing query scheme. A particular secure query scheme of the foregoing secure query schemes may be utilized to address different considerations with respect to security, efficiency, and deployability with respect to various applications and scenarios with different requirements.

Abstract: A method for operating a distributed key-value store includes processing a data set comprised of data records each associated with a unique identifier and having one or more values associated with one or more attributes using a private key provided at a client device, thereby partitioning each of the data records based on the identifier and forming a plurality of encrypted identifier-value pairs for distributed storage across a plurality of server nodes operably connectable to the client device. The method also includes building, at the client device, encrypted indexes based on the type of query; and executing a query protocol in response to receiving a query from the client device so as to identify, using the built encrypted indexes, data distributively stored in the server nodes which matches the query. The invention also provides a related system for operating a distributed key-value store.

Abstract: An electronic storage system and a method of data management includes the steps of: partitioning source data into a plurality of portions of data; storing each of the plurality of portions of data in each of a plurality of storage peers respectively; and storing a plurality of indices in a plurality of storage peers; wherein each of the plurality of indices corresponds to each respective portion of partitioned data; and wherein each of the plurality of storage peers is arranged to store the plurality of indices and the plurality of portions of data in corresponding pairs.

Abstract: A method for operating a distributed key-value store includes processing a data set comprised of data records each associated with a unique identifier and having one or more values associated with one or more attributes using a private key provided at a client device, thereby partitioning each of the data records based on the identifier and forming a plurality of encrypted identifier-value pairs for distributed storage across a plurality of server nodes operably connectable to the client device. The method also includes building, at the client device, encrypted indexes based on the type of query; and executing a query protocol in response to receiving a query from the client device so as to identify, using the built encrypted indexes, data distributively stored in the server nodes which matches the query. The invention also provides a related system for operating a distributed key-value store.

Abstract: Systems and methods which provide secure queries with respect to encrypted datasets are described. Embodiments provide privacy-assured similarity join techniques operable with large-scale encrypted datasets. A privacy-assured similarity join technique of embodiments enables a storage system to answer similarity join queries without learning the content of the query dataset and the target dataset. One or more secure query schemes may be implemented in accordance with a privacy-assured similarity join technique herein. For example, embodiments may utilize an individual similarity query scheme, a frequency hiding query scheme, and/or a result sharing query scheme. A particular secure query scheme of the foregoing secure query schemes may be utilized to address different considerations with respect to security, efficiency, and deployability with respect to various applications and scenarios with different requirements.