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» The application of differential privacy to health data
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MEDINFO
2007
131views Healthcare» more  MEDINFO 2007»
13 years 10 months ago
Utilizing SELinux to Mandate Ultra-secure Access Control of Medical Records
Ongoing concerns have been raised over the effectiveness of information technology products and systems in maintaining privacy protection for sensitive data. The aim is to ensure ...
Peter R. Croll, Matthew Henricksen, William J. Cae...
ESORICS
2009
Springer
14 years 9 months ago
Secure Evaluation of Private Linear Branching Programs with Medical Applications
Abstract. Diagnostic and classification algorithms play an important role in data analysis, with applications in areas such as health care, fault diagnostics, or benchmarking. Bran...
Mauro Barni, Pierluigi Failla, Vladimir Kolesnikov...
ASIACRYPT
2011
Springer
12 years 8 months ago
Noiseless Database Privacy
Differential Privacy (DP) has emerged as a formal, flexible framework for privacy protection, with a guarantee that is agnostic to auxiliary information and that admits simple ru...
Raghav Bhaskar, Abhishek Bhowmick, Vipul Goyal, Sr...
CCR
2006
76views more  CCR 2006»
13 years 8 months ago
Secure distributed data-mining and its application to large-scale network measurements
The rapid growth of the Internet over the last decade has been startling. However, efforts to track its growth have often fallen afoul of bad data -- for instance, how much traffi...
Matthew Roughan, Yin Zhang
ACSAC
1999
IEEE
14 years 29 days ago
An Application of Machine Learning to Network Intrusion Detection
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
Chris Sinclair, Lyn Pierce, Sara Matzner