Towards identity disclosure control in private hypergraph publishing

Yidong Li, Hong Shen

研究成果: Conference contribution同行評審


Identity disclosure control (IDC) on complex data has attracted increasing interest in security and database communities. Most existing work focuses on preventing identity disclosure in graphs that describes pairwise relations between data entities. Many data analysis applications need information about multi-relations among entities, which can be well represented with hypergraphs. However, the IDC problem has been little studied in publishing hypergraphs due to the diversity of hypergraph information which may expose to many types of background knowledge attacks. In this paper, we introduce a novel attack model with the properties of hyperedge rank as background knowledge, and formalize the rank-based hypergraph anonymization (RHA) problem. We propose an algorithm running in near-quadratic time on hypergraph size for rank anonymization which we show to be NP-hard, and in the meanwhile, maintaining data utility for community detection. We also show how to construct the hypergraph under the anonymized properties to protect a hypergraph from rank-based attacks. The performances of the methods have been validated by extensive experiments on real-world datasets. Our rank-based attack model and algorithms for rank anonymization and hypergraph construction are, to our best knowledge, the first systematic study for private hypergraph publishing.

主出版物標題Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Proceedings
版本PART 2
出版狀態Published - 2012
事件16th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2012 - Kuala Lumpur, Malaysia
持續時間: 29 5月 20121 6月 2012


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 2
7301 LNAI


Conference16th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2012
城市Kuala Lumpur


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