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Confidential data should be encrypted in out-souring services in cloud computing environment in order to minimise the risk of data revealing. There have been many schemes, classified as searchable encryption, which provides capabilities to securely search over encrypted data through keywords without decryption key. In
patterns. However, this implies an expensive computation or communication cost of all the data on the server. Existing solutions are not efficient due to their impractical communication and computation cost. Besides, most of them do not support keyword search. In this paper, we introduce the mechanism of pricing to solve the
In this paper we introduce Password Authenticated Keyword Search (PAKS), a cryptographic scheme where any user can use a single human-memorizable password to outsource encrypted data with associated keywords to a group of servers and later retrieve this data through the encrypted keyword search procedure. PAKS ensures
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
Prior Searchable Symmetric Encryption (SSE) works focus on single keyword search. Conjunctive Keyword Searches (CKS) schemes enhance system usability by retrieving the matching files. Most of existing conjunctive keyword works that use conjunctive keyword searches with fixed position keyword fields are not useful for
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.