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KMFC-GWO:A Hybrid Fuzzy-Metaheuristic Algorithm for Privacy-Preservation in Graph-Based Social Networks

Saeideh Memarian Andreea M.Oprescu Natalia Moreno-Naranjo Gloria Miró-Amarante M.Carmen Romero-Ternero

Computer Modeling in Engineering & Sciences2026，Vol.147Issue(4)：P.745-765,21.

Computer Modeling in Engineering & Sciences2026，Vol.147Issue(4)：P.745-765,21.DOI:10.32604/cmes.2026.073647

KMFC-GWO:A Hybrid Fuzzy-Metaheuristic Algorithm for Privacy-Preservation in Graph-Based Social Networks

Saeideh Memarian ¹Andreea M.Oprescu ²Natalia Moreno-Naranjo ³Gloria Miró-Amarante ³M.Carmen Romero-Ternero²

作者信息

1. Doctoral Program in Computer Science Engineering,Universidad de Sevilla,Sevilla,Spain
2. Departamento Tecnología Electrónica,Universidad de Sevilla,Sevilla,Spain Instituto de Ingeniería Informática,Universidad de Sevilla,Sevilla,Spain
3. Departamento Tecnología Electrónica,Universidad de Sevilla,Sevilla,Spain
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摘要

关键词

Gaph-based social networks/privacy preserving/K-anonymity/L-diversity/T-closeness/fuzzy clustering/grey wolf optimizar(GWO)

分类

信息技术与安全科学

引用本文复制引用

Saeideh Memarian,Andreea M.Oprescu,Natalia Moreno-Naranjo,Gloria Miró-Amarante,M.Carmen Romero-Ternero..KMFC-GWO:A Hybrid Fuzzy-Metaheuristic Algorithm for Privacy-Preservation in Graph-Based Social Networks[J].Computer Modeling in Engineering & Sciences,2026,147(4):P.745-765,21.

基金项目

funded by grant PID2022-141045OB-{C41,C42,C43} （）

funded by MCIN/AEI/10.13039/501100011033/and Feder a way of making Europe in artifacts project:Generation of Reliable Synthetic Health Data for Federated Learning in Secure Data Spaces. （）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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