Feb 11, 2016 · In this paper, we implement the first comprehensive quantification of the perfect de-anonymizability and partial de-anonymizability of ...

Abstract—In this paper, we implement the first comprehensive quantification of the perfect de-anonymizability and partial de-anonymizability of real-world ...

In this paper, we implement the first comprehensive quantification of the perfect de-anonymizability and partial de-anonymizability of real-world social ...

In this paper, we implement the first comprehensive quantification of the perfect de-anonymizability and partial de-anonymizability of real-world social ...

In this paper, we implement the first comprehensive quantification of the perfect de-anonymizability and partial de-anonymizability of real-world social ...

de-anonymizability of social networks based on their structural information. It is natural to model social networks as graphs where nodes represent users ...

In this paper, we conduct the first comprehensive quantification on the perfect de-anonymizability and partial de-anonymizability of real world social networks ...

In this paper, we conduct a comprehensive analysis on the typical structure-based social network de-anonymization algorithms. We aim to understand the de- ...

Mar 27, 2019 · The first one is to de-anonymize the network based on seed ... measure based on network structure, but it is designed for single network only.