Authenticating multi-dimensional query results in outsourced database


Within the outsourced database model, the third-party server provides query services to users on behalf of the information owner. But, the service provider might be unreliable or inclined to attacks. The service provider will additionally manufacture inauthentic or incomplete query results. An authentication theme for multi-dimensional information is proposed in this study to investigate this problem. The authors introduce a new concept of tower head node primarily based on the k-dimensional skip list and use it to construct a brand new authenticated knowledge structure. This structure supports both multi-dimensional vary question and dynamic maintenance. They also show a way to verify the authenticity and completeness of query results on multi-dimensional datasets within the outsourced database model. Moreover, this structure will be fully outsourced, thus the service supplier will perform the complete maintenance, that is crucial for users with limited computational resources. The proof of security and therefore the evaluation of experiment demonstrate that the theme is secure and outperforms previous schemes in terms of the construction cost, proof size, query time, verification time and update value.

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