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» On the Security of Random Sources
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SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
15 years 7 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu
HICSS
2002
IEEE
116views Biometrics» more  HICSS 2002»
15 years 11 months ago
E-commerce Security Issues
Without trust, most prudent business operators and clients may decide to forgo use of the Internet and revert back to traditional methods of doing business. To counter this trend,...
Randy C. Marchany, Joseph G. Tront
POPL
2008
ACM
16 years 6 months ago
Cryptographically sound implementations for typed information-flow security
In language-based security, confidentiality and integrity policies conveniently specify the permitted flows of information between different parts of a program with diverse levels...
Cédric Fournet, Tamara Rezk
MSR
2010
ACM
15 years 8 months ago
Identifying security bug reports via text mining: An industrial case study
-- A bug-tracking system such as Bugzilla contains bug reports (BRs) collected from various sources such as development teams, testing teams, and end users. When bug reporters subm...
Michael Gegick, Pete Rotella, Tao Xie
TLDI
2009
ACM
108views Formal Methods» more  TLDI 2009»
16 years 3 months ago
Secure compilation of a multi-tier web language
Storing state in the client tier (in forms or cookies, for example) improves the efficiency of a web application, but it also renders the secrecy and integrity of stored data vul...
Ioannis G. Baltopoulos, Andrew D. Gordon