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UMBRELLA: User Demand Privacy Preserving Framework Based on Association Rules and Differential Privacy in Social Networks

Science China Information Sciences(2019)

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Abstract
Toward Sustainable and Economic Smart Mobility, pp. 169-187 (2020) No AccessChapter 9: A User-Demand Privacy-Preserving Framework Based on Association Rules and Differential Privacy in Social NetworksChunliu Yan, Ziyi Ni, Bin Cao, Rongxing Lu, Shaohua Wu, and Qinyu ZhangChunliu YanHarbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, P. R. China, 518055, P. R. China, Ziyi NiHarbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, P. R. China, 518055, P. R. China, Bin CaoHarbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, P. R. China, 518055, P. R. China, Rongxing LuUniversity of New Brunswick, Fredericton, NB, Canada, E3B 5A3, Canada, Shaohua WuHarbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, P. R. China, 518055, P. R. China, and Qinyu ZhangHarbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, P. R. China, 518055, P. R. Chinahttps://doi.org/10.1142/9781786347862_0009Cited by:0 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: The following sections are included: Introduction Related Work System Model Preliminaries Proposed UMBRELLA Scheme Solution Performance Evaluation and Analysis Conclusions References FiguresReferencesRelatedDetails Toward Sustainable and Economic Smart MobilityMetrics History PDF download
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Key words
Differential Privacy,Privacy Preservation,Data Privacy,Privacy Concerns,Anonymization
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