Probabilistic privacy analysis of published views

ABSTRACT

Among techniques for ensuring privacy in data publishing, k-anonymity and publishing of views on private data are quite popular. In this paper, we consider data publishing by views and develop a probability framework for the analysis of privacy breach. We propose two attack models and derive the probability of privacy breach for each model.

REFERENCES

• 1: Roberto J. Bayardo , Rakesh Agrawal, Data Privacy through Optimal k-Anonymization, Proceedings of the 21st International Conference on Data Engineering (ICDE'05), p.217-228, April 05-08, 2005 [doi>10.1109/ICDE.2005.42]
• 2: Alin Deutsch, Yannis Papakonstantinou, "Privacy in Database Publishing", ICDT'05.
• 3: Kristen LeFevre , David J. DeWitt , Raghu Ramakrishnan, Incognito: efficient full-domain K-anonymity, Proceedings of the 2005 ACM SIGMOD international conference on Management of data, June 14-16, 2005, Baltimore, Maryland [doi>10.1145/1066157.1066164]
• 4: Kristen LeFevre, David DeWitt, and Raghu Ramakrishnan, "Mondrian Multidimensional K-Anonymity", ICDE'05.
• 5: Ashwin Machanavajjhala , Johannes Gehrke , Daniel Kifer , Muthuramakrishnan Venkitasubramaniam, \ell -Diversity: Privacy Beyond \kappa -Anonymity, Proceedings of the 22nd International Conference on Data Engineering (ICDE'06), p.24, April 03-07, 2006 [doi>10.1109/ICDE.2006.1]
• 6: Adam Meyerson , Ryan Williams, On the complexity of optimal K-anonymity, Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, June 14-16, 2004, Paris, France [doi>10.1145/1055558.1055591]
• 7: Gerome Miklau , Dan Suciu, A formal analysis of information disclosure in data exchange, Proceedings of the 2004 ACM SIGMOD international conference on Management of data, June 13-18, 2004, Paris, France [doi>10.1145/1007568.1007633]
• 8: Pierangela Samarati , Latanya Sweeney, Generalizing data to provide anonymity when disclosing information (abstract), Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, p.188, June 01-04, 1998, Seattle, Washington, United States [doi>10.1145/275487.275508]
• 9: P. Samarati, Protecting Respondents' Identities in Microdata Release, IEEE Transactions on Knowledge and Data Engineering, v.13 n.6, p.1010-1027, November 2001 [doi>10.1109/69.971193]
• 10: Claude Elwood Shannon, "Communication theory of secrecy systems", Bell System Technical Journal, 1949.
• 11: Xiaokui Xiao , Yufei Tao, Personalized privacy preservation, Proceedings of the 2006 ACM SIGMOD international conference on Management of data, June 27-29, 2006, Chicago, IL, USA [doi>10.1145/1142473.1142500]
• 12: Chao Yao , X. Sean Wang , Sushil Jajodia, Checking for k-anonymity violation by views, Proceedings of the 31st international conference on Very large data bases, August 30-September 02, 2005, Trondheim, Norway

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT

General Terms:
Security

Keywords:
privacy breach, private association, probabilistic analysis, published views