Structural Predictability Optimization Against Inference Attacks in Data Publishing

Structural Predictability Optimization Against Inference Attacks in Data Publishing

Graphs have been proved to be a useful mathematical representation for a broad variety of real-world complex systems, and the structure prediction on graphs refers to estimating the potential relationship between the objects from the observed structures, being fundamental in many data analysis appli...

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Bibliographic Details
Main Authors: Tao Wu, Guannan Ming, Xingping Xian, Wei Wang, Shaojie Qiao, Guangxia Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Graphs
structure inference
structural predictability
link perturbation
regular equivalence
privacy protection
Online Access:https://ieeexplore.ieee.org/document/8756040/

Internet

https://ieeexplore.ieee.org/document/8756040/

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