Measuring Social Network De-Anonymizability by Means of Morphism Property-Reference-Cited by-同舟云学术

Measuring Social Network De-Anonymizability by Means of Morphism Property

Author:

Fu Luoyi¹^ORCID,Zhang Jiapeng²^ORCID,Qu Shan²^ORCID,Kang Huquan²,Wang Xinbing³^ORCID,Chen Guihai¹

Affiliation:

1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China

3. Department of Computer Science and Engineering and the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

National Key Research and Development Program of China

NSF China

2021 Tencent AI Laboratory RhinoBird Focused Research Program

Program of Shanghai Academic/Technology Research Leader

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

Reference30 articles.

4. De-anonymization of social networks with communities: When quantifications meet algorithms;fu;arXiv 1703 09028,2017

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