Differential Privacy for Weighted Network Based on Probability Model

Differential Privacy for Weighted Network Based on Probability Model

Weighted network contains a lot of sensitive information and may seriously jeopardize individual privacy. In this paper, we study the problem of differential privacy for weighted network. We found most existing methods add noise to edge weights directly and neglect the structural role of node. These...

Full description

Bibliographic Details
Main Authors: Yuye Wang, Jing Yang, Jianpei Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Weighted network
differential privacy
stochastic block model
variational bayes
Online Access:https://ieeexplore.ieee.org/document/9079827/

Internet

https://ieeexplore.ieee.org/document/9079827/

Similar Items