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Despite the tremendous benefits, the outsourced database paradigm inevitably suffers from some new security challenges.
Open image in new window Fig. 1 Architecture of an outsourced database system model.
Wang et al. [55] proposed a novel verifiable outsourced database scheme based on Bloom filters.
Pang et al. [46, 48] give two solutions to the completeness problem for static and dynamic outsourced database, respectively.
Cloud exploits this advantage by providing a more cost-efficient, outsourced database management solution that allows enterprises to easily store, manage, and process large volumes of data.
On the other hand, when the client performs an insertion/deletion operation on an outsourced database, the number of the index will be increased/ decreased by 1.
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However, it becomes a very challenging problem that how to execute SQL on outsourced databases while protecting the confidentiality of outsourced databases at the same time.
Devanbu et al. [17] firstly investigated the problem of integrity auditing on outsourced databases.
Recently, Yuan and Yu [59] presented a new verifiable aggregation query scheme for outsourced databases.
Data privacy and query integrity is assured by Ku et al. [22] for outsourced databases.
Therefore, one of the most critical challenges is to effectively audit the integrity of outsourced databases.
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CEO of Professional Science Editing for Scientists @ prosciediting.com