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ICDE
2010
IEEE
214views Database» more  ICDE 2010»
14 years 6 months ago
Differential Privacy via Wavelet Transforms
Privacy preserving data publishing has attracted considerable research interest in recent years. Among the existing solutions, -differential privacy provides one of the strongest p...
Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
ADC
2007
Springer
145views Database» more  ADC 2007»
14 years 14 days ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
ICDCS
2008
IEEE
14 years 21 days ago
A Sophisticated Privacy-Enhanced Yet Accountable Security Framework for Metropolitan Wireless Mesh Networks
— Recently, multi-hop wireless mesh networks (WMNs) have attracted increasing attention and deployment as a low-cost approach to provide broadband Internet access at metropolitan...
Kui Ren, Wenjing Lou
ISI
2008
Springer
13 years 5 months ago
A framework for privacy-preserving cluster analysis
Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...