Pattern Matching over Multi-attribute Data Streams
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Achieving k-anonymity privacy protection using generalization and suppression
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A formal analysis of information disclosure in data exchange
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Query rewriting for detection of privacy violation through inferencing
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Detecting privacy violations in database publishing using disjoint queries
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Continuous privacy preserving publishing of data streams
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Privacy protection on sliding window of data streams
COLCOM '07 Proceedings of the 2007 International Conference on Collaborative Computing: Networking, Applications and Worksharing
Anonymizing Streaming Data for Privacy Protection
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
CASTLE: A delay-constrained scheme for ks-anonymizing data streams
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Privacy-preserving data publishing: A survey of recent developments
ACM Computing Surveys (CSUR)
Detecting privacy violations in sensitive XML databases
SDM'05 Proceedings of the Second VDLB international conference on Secure Data Management
Asymptotic conditional probabilities for conjunctive queries
ICDT'05 Proceedings of the 10th international conference on Database Theory
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As huge amount of personal data collected into databases of service providers increase, so does the risk of private information disclosure. Recently, a number of privacy-preserving techniques have been proposed, however, they are either pre-controls or post-controls and limited in protection of privacy without information loss or distortion, quite a few techniques can be seen among literatures for detecting information disclosure in the process of data transmission. In this paper, we focus on disclosure detection related to database publishing, and present a novel approach of detecting privacy leakages over data streams on querying databases by using dynamic pattern matching and data stream processing techniques. Experimental results via Cayuga system verified the feasibility of our proposal.