篇名 |
DDPLA: A Dynamic Differential Privacy Algorithm for Social Network Based on Local Community
|
---|---|
並列篇名 | DDPLA: A Dynamic Differential Privacy Algorithm for Social Network Based on Local Community |
作者 | Yuanpeng Long、Xianyi Zhou、Yang Li、Xuena Zhang、Bin Xing |
英文摘要 | Social networks contain a large number of privacy information. Personal privacy will be jeopardized if network data without privacy protection is released directly. In view of the current privacy protection technology to protect the social network, there are some problems such as low maintenance of network structure or low accuracy of network data. In order to solve these problems, this paper proposes a dynamic differential privacy algorithm for social network based on local community (DDPLA). The algorithm can divide the social network into different communities, dynamically generate privacy budgets for different communities, and then generate uncertainty graphs. Experiments show that compared with other algorithms, the social network processed by DDPLA algorithm can better balance data utility and privacy protection. Furthermore, the algorithm can better protect important nodes.
|
起訖頁 | 101-112 |
關鍵詞 | Differential privacy、Similarity、Community、Privacy protection、Social network |
刊名 | 網際網路技術學刊 |
期數 | 202301 (24:1期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
|
QR Code | |
該期刊 上一篇
| Decoupling Temporal Convolutional Networks Model in Sound Event Detection and Localization |
該期刊 下一篇
| Applying Fuzzy Cognitive Map Based on Structural Equation Modeling for Perceiving the Service Quality and Attributes in Service Industry |