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ADC
2007
Springer
145views Database» more  ADC 2007»
15 years 3 months 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
SIGMOD
2012
ACM
250views Database» more  SIGMOD 2012»
13 years 2 days ago
Authenticating location-based services without compromising location privacy
The popularity of mobile social networking services (mSNSs) is propelling more and more businesses, especially those in retailing and marketing, into mobile and location-based for...
Haibo Hu, Jianliang Xu, Qian Chen, Ziwei Yang
CIKM
2009
Springer
15 years 4 months ago
Walking in the crowd: anonymizing trajectory data for pattern analysis
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...
ISI
2008
Springer
14 years 9 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 ...
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ESORICS
2009
Springer
15 years 10 months ago
Computationally Sound Analysis of a Probabilistic Contract Signing Protocol
We propose a probabilistic contract signing protocol that achieves balance even in the presence of an adversary that may delay messages sent over secure channels. To show that this...
Mihhail Aizatulin, Henning Schnoor, Thomas Wilke