文章詳目資料
Journal of Computers EIMEDLINEScopus
加入收藏
下載文章
| 篇名 | D-GSPerturb: A Distributed Social Privacy Protection Algorithm based on Graph Structure Perturbation |
|---|---|
| 卷期 | 28:5 |
| 作者 | Xiao-lin Zhang 、 Wen-chao Zhang 、 Chen Zhang 、 Li-Xin Liu 、 Xiao-Yu He |
| 頁次 | 051-061 |
| 關鍵字 | big data 、 D-GSPerturb 、 edge random perturbation 、 privacy protection 、 social network 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 201710 |
| DOI | 10.3966/199115992017102805005 |
中文摘要
英文摘要
The traditional privacy protection algorithm does not meet actual application requirements of processing large-scale graph data in terms of efficiency or capability. DGSPerturb is a distributed social privacy protection algorithm based on graph structure perturbation; it is proposed to solve link privacy issues in social networks. The present vertexcentric algorithm can search large-scale social networks for reachable vertexes, transfer reachable information, and randomly perturb edges through between-vertex messaging, vertex value updating, and multi-iteration in programming. The experimental results show that DGSPerturb not only improves the processing speed of large-scale graph data but also ensures the privacy protection effect and availability of data published.
本卷期文章目次
- Improvement in Speech to Text for Bahasa Indonesia Through Homophone Impairment Training / Intan Sari Areni、Indrabayu、Anugrayani Bustamin
- An Efficient TDOA and GROA Localization Mechanism Based on GSO Algorithm with Flight Theory / Dong-yao Zou、Bi-wei Liu、Wei Yang
- Choosing Classification Algorithms and Its Optimum Parameters based on Data Set Characteristics / Yang Zhongguo、Li Hongqi、Sikandar Ali、Ao Yile
- Study of the Fault Diagnosis Method of Control Systems Based on MCCSAPSO-SVM / Ruicheng Guo、Pu Yang、Xu Pan、Jianwei Liu