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Autism spectrum disorder is an inherently complex phenomenon requiring large studies of many different types to further understanding of its causes. The National Database for Autism Research (NDAR) is being constructed to aid in this effort by providing a means for researchers to share and integrate data. An autism ontology drafted by a group at Stanford is being incorporated for use by NDAR to allow...
In order to protect individuals' privacy, the technique of k-anonymization has been proposed to de-associate sensitive attributes from the corresponding identifiers. Datafly is one such technique which generalizes the information up to a level in such a way that each individual is hidden among at least k-1 other individuals. But this technique sometimes over distorts the data which may render it useless...
Honeypots have been studied in the network domain for detection and information collection against external threats in the past few years. They lure a potential attacker by simulating resources having vulnerabilities and observing the behavior of a potential attacker to identify him before a damaging attack takes place. A lot of work has been done in the area of privacy and security in databases....
As a response to serious privacy concerns, various approaches have been proposed on privacy policy driven databases. However it is very difficult to provide robust privacy implementation. Privacy violation can still take place with some masquerading. In such a scenario, it is important to detect the violation. A solution for privacy violation detection based on malafide intension has been proposed...
This paper presents an overview of the data integration mediation system developed as part of the Biomedical Informatics Research Network (BIRN; http://www.nbirn.net) project. BIRN is sponsored by the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH). A core BIRN goal is the development of a multi-institution information management system to support...
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