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Data confidentiality is concerned in database-as-a-service (DBaaS) model. The cloud server should not have access to user’s plain data. Data is encrypted before they are stored in cloud database. Query computation over encrypted data by the server is not straight-forward. Many research works have been done on this problem. A common goal is to let the server obtain the selection result without leaking information about plain data. In existing solutions, the selection result is simply dumped by the server after the query answer is returned. Our idea is to make use of such past results of selections to improve processing speed for new queries. We developed an indexing mechanism called past result knowledge base (PRKB) to improve processing speed of selection with comparison predicate(s) in EDBMS. All operations related to PRKB are done by the server only. In our empirical studies, PRKB can reduce processing cost by orders of magnitudes compared to the case PRKB is not used.

Optimizing Selection Processing for Encrypted Database using Past Result Knowledge Base