Fast De-anonymization of Social Networks with Structural Information

Fast De-anonymization of Social Networks with Structural Information

Abstract Ever since the social networks became the focus of a great number of researches, the privacy risks of published network data have also raised considerable concerns. To evaluate users’ privacy risks, researchers have developed methods to de-anonymize the networks and identify the same person...

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Bibliographic Details
Main Authors: Yingxia Shao, Jialin Liu, Shuyang Shi, Yuemei Zhang, Bin Cui
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:Data Science and Engineering
Subjects:
Social network
De-anonymization
Privacy risk
Node similarity
Online Access:http://link.springer.com/article/10.1007/s41019-019-0086-8

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http://link.springer.com/article/10.1007/s41019-019-0086-8

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