Three partition refinement algorithms
SIAM Journal on Computing
Dual Labeling: Answering Graph Reachability Queries in Constant Time
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Towards identity anonymization on graphs
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Preserving Privacy in Social Networks Against Neighborhood Attacks
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
K-isomorphism: privacy preserving network publication against structural attacks
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Personalized privacy protection in social networks
Proceedings of the VLDB Endowment
Limiting link disclosure in social network analysis through subgraph-wise perturbation
Proceedings of the 15th International Conference on Extending Database Technology
Protecting sensitive relationships against inference attacks in social networks
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
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The goal of graph anonymization is avoiding disclosure of privacy in social networks through graph modifications meanwhile preserving data utility of the anonymized graph for social network analysis. Graph reachability is an important data utility as reachability queries are not only common on graph databases, but also serving as fundamental operations for many other graph queries. However, the graph reachability is severely distorted after the anonymization. In this paper, we solve this problem by designing a reachability preserving anonymization (RPA for short) algorithm. The main idea of RPA is to organize vertices into groups and greedily anonymizes each vertex with low anonymization cost on reachability. We propose the reachable interval to efficiently measure the anonymization cost incurred by an edge addition, which guarantees the high efficiency of RPA. Extensive experiments illustrate that anonymized social networks generated by our methods preserve high utility on reachability.