Structure-Attribute-Based Social Network Deanonymization With Spectral Graph Partitioning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3082901
Abstract: Online social networks have gained tremendous popularity and have dramatically changed the way we communicate in recent years. However, the publishing of social network data raises more and more privacy concerns. To protect user privacy,… read more here.
Keywords: social network; network; graph partitioning; spectral graph ... See more keywords
De-SAG: On the De-Anonymization of Structure-Attribute Graph Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2017.2712150
Abstract: In this paper, we study the impacts of non-Personal Identifiable Information (non-PII) on the privacy of graph data with attribute information (e.g., social networks data with users’ profiles (attributes)), namely Structure-Attribute Graph (SAG) data, both… read more here.
Keywords: anonymization; graph; graph data; structure attribute ... See more keywords
Structure-Attribute Social Network Graph Data Publishing Satisfying Differential Privacy
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DOI: 10.3390/sym14122531
Abstract: With the development of big data, data collection and publishing are symmetrical. The purpose of data collection is to better publish data. To better collect user data and promote data analysis, publishing massive amounts of… read more here.
Keywords: social network; network; data publishing; attribute social ... See more keywords