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KDD
2004
ACM
137views Data Mining» more  KDD 2004»
16 years 4 months ago
When do data mining results violate privacy?
Privacy-preserving data mining has concentrated on obtaining valid results when the input data is private. An extreme example is Secure Multiparty Computation-based methods, where...
Murat Kantarcioglu, Jiashun Jin, Chris Clifton
IEEESCC
2007
IEEE
15 years 10 months ago
Web Services Security and Privacy
eb services are becoming widely deployed to implement the automation of business processes such as supply chain management, inventory tracking, and healthcare management, just to ...
Patrick C. K. Hung, Casey K. Fung
TSE
2008
128views more  TSE 2008»
15 years 4 months ago
Analyzing Regulatory Rules for Privacy and Security Requirements
Information practices that use personal, financial, and health-related information are governed by US laws and regulations to prevent unauthorized use and disclosure. To ensure com...
Travis D. Breaux, Annie I. Antón
DAMON
2006
Springer
15 years 8 months ago
Using secure coprocessors for privacy preserving collaborative data mining and analysis
Secure coprocessors have traditionally been used as a keystone of a security subsystem, eliminating the need to protect the rest of the subsystem with physical security measures. ...
Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth Gol...
INDOCRYPT
2004
Springer
15 years 9 months ago
Information Theory and the Security of Binary Data Perturbation
Random data perturbation (RDP) has been in use for several years in statistical databases and public surveys as a means of providing privacy to individuals while collecting informa...
Poorvi L. Vora