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Outsource encrypted data has attracted attentions from industry and academics for storing sensitive data in third party clouds. Many cloud applications need privacy preserving multiple keywords search services over encrypted data with dual capabilities. On one hand, they need to keep the query keywords and associated
encrypted data when a majority of research is limited to exact-keyword-search only. We propose a novel scheme for proximity-based-search on encrypted databases hosted in untrusted service environments. This scheme involves a trusted proxy which facilitates a trapdoor to execute search queries over encrypted data while
will be uploaded infrequently. We propose a secure query execution model for such an environment. Our approach is to represent all schemes of each tuple in a plaintext table as one Bloom filter index, and to replace queries with keyword searches of the Bloom filter index. Same values in each tuple are transformed into
scheme, which allows users to perform an encrypted keyword search on encrypted data stored in database server directly without decrypting it. In many applications, it requires to access the database by multiple users where data is written by different users using different encryption keys. In this paper, we propose schemes
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.