Preserving Privacy in Vertically Partitioned Distributed Data Using Hierarchical and Ring Models

Srinivas, Rayudu; Sireesha, K. A.; Vahida, Shaik

doi:10.1007/978-981-10-3174-8_49

Cited by 4 publications

(2 citation statements)

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“…In [15], data fragmentation with encryption was utilized to break sensitive associations between information. In [11], to preserve data privacy, two models, that is: 1) hierarchical and 2) ring models, were designed for integrating information from the vertically partitioned database. The mechanism and advantages of the corresponding models were outlined.…”

Section: A Approaches For Database Fragmentationmentioning

confidence: 99%

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Distributed Memetic Algorithm for Outsourced Database Fragmentation

Cao

et al. 2021

IEEE Trans. Cybern.

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Data privacy and utility are two essential requirements in outsourced data storage. Traditional techniques for sensitive data protection, such as data encryption, affect the efficiency of data query and evaluation. By splitting attributes of sensitive associations, database fragmentation techniques can help protect data privacy and improve data utility. In this article, a distributed memetic algorithm (DMA) is proposed for enhancing database privacy and utility. A balanced best random distributed framework is designed to achieve high optimization efficiency. In order to enhance global search, a dynamic grouping recombination operator is proposed to aggregate and utilize evolutionary elements; two mutation operators, namely, merge and split, are designed to help arrange and create evolutionary elements; a two-dimension selection approach is designed based on the priority of privacy and utility. Furthermore, a splicing-driven local search strategy is embedded to introduce rare utility elements without violating constraints. Extensive experiments are carried out to verify the performance of the proposed DMA. Furthermore, the effectiveness of the proposed distributed framework and novel operators is verified.

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Section: A Approaches For Database Fragmentationmentioning

confidence: 99%

“…Database fragmentation [11], [12] is another solution for data outsourcing service, which can help the provider to achieve data privacy as well as maintain query efficiency. Database fragmentation is a technique that splits the entire database into multiple fragments [9], [13].…”

Section: Introductionmentioning

confidence: 99%