Set-Based Adaptive Distributed Differential Evolution for Anonymity-Driven Database Fragmentation

By breaking sensitive associations between attributes, database fragmentation can protect the privacy of outsourced data storage. Database fragmentation algorithms need prior knowledge of sensitive associations in the tackled database and set it as the optimization objective. Thus, the effectiveness...

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Veröffentlicht in:	Data Science and Engineering Jg. 6; H. 4; S. 380 - 391
Hauptverfasser:	Ge, Yong-Feng, Cao, Jinli, Wang, Hua, Chen, Zhenxiang, Zhang, Yanchun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 01.12.2021 Springer Springer Nature B.V
Schlagworte:	Algorithm Analysis and Problem Complexity Algorithms Analysis Artificial Intelligence Chemistry and Earth Sciences Computer Science Data Mining and Knowledge Discovery Data security Data storage Database Management Domains Evolutionary algorithms Evolutionary computation Fragmentation Information storage and retrieval Mutation Operators (mathematics) Optimization Physics Privacy Privacy, Right of Statistics for Engineering Systems and Data Security Database fragmentation Differential evolution Data privacy
ISSN:	2364-1185, 2364-1541
Online-Zugang:	Volltext
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