Utility-Maximizing Event Stream Suppression

Summary: Formalizes utility-maximizing suppression in CEP with privacy preferences to limit sensitive pattern disclosure while preserving nonsensitive signals. Two real-time solutions: optimal at the event-type level; event-instance level with cardinality estimation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4712
Venue: SIGMOD
Year: 2013
Pagerank: 4.1945683e-05
Overall Rank: 12,054 | 16.15%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
259	High-Performance Complex Event Processing over Streams	2006	SIGMOD	0.00030174924
455	Incognito: Efficient Full-Domain K-Anonymity	2005	SIGMOD	0.00022717354
715	Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption	2010	SIGMOD	0.00017725693
776	Efficient Pattern Matching over Event Streams	2008	SIGMOD	0.00016799754
1,136	Chain: Operator Scheduling for Memory Minimization in Data Stream Systems	2003	SIGMOD	0.00013760154
1,418	ZStream: A Cost-based Query Processor for Adaptively Detecting Composite Events	2009	SIGMOD	0.00012089363
2,080	Optimal Sampling From Distributed Streams	2010	PODS	9.5899129e-05
3,996	MaskIt: Privately Releasing User Context Streams for Personalized Mobile Applications	2012	SIGMOD	6.5502886e-05
6,675	On the Complexity of Privacy-Preserving Complex Event Processing	2011	PODS	4.9660198e-05
8,551	Active Complex Event Processing: Applications in Real-Time Health Care	2010	VLDB	4.4937074e-05

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