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ISI
2005
Springer
13 years 11 months ago
Data Distortion for Privacy Protection in a Terrorist Analysis System
Data distortion is a critical component to preserve privacy in security-related data mining applications, such as in data miningbased terrorist analysis systems. We propose a spars...
Shuting Xu, Jun Zhang, Dianwei Han, Jie Wang
ISI
2008
Springer
13 years 5 months ago
Information sharing and privacy protection of terrorist or criminal social networks
Terrorist or criminal social network analysis is helpful for intelligence and law enforcement force in investigation. However, individual agency usually has part of the complete te...
Christopher C. Yang
JIDM
2010
122views more  JIDM 2010»
13 years 3 months ago
Revisiting "Privacy Preserving Clustering by Data Transformation"
Preserving the privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying data values subjected to clustering w...
Stanley R. M. Oliveira, Osmar R. Zaïane
EUROISI
2008
13 years 7 months ago
Homeland Security Data Mining Using Social Network Analysis
The tragic events of September 11th have caused drastic effects on many aspects of society. Academics in the fields of computational and information science have been called upon ...
Hsinchun Chen
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
11 years 7 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...