Privacy Preserving Information Sharing
نویسنده
چکیده
منابع مشابه
Privacy-preserving Ontology Matching
Increasingly, there is a recognized need for secure information sharing. In order to implement information sharing between diverse organizations, we need privacypreserving interoperation systems. In this work, we describe two frameworks for privacy-preserving interoperation systems. Ontology matching is an indispensable component of interoperation systems. To implement privacy-preserving intero...
متن کاملارایه یک روش جدید انتشار داده‌ها با حفظ محرمانگی با هدف بهبود دقّت طبقه‌‌بندی روی داده‌های گمنام
Data collection and storage has been facilitated by the growth in electronic services, and has led to recording vast amounts of personal information in public and private organizations databases. These records often include sensitive personal information (such as income and diseases) and must be covered from others access. But in some cases, mining the data and extraction of knowledge from thes...
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PRIVACY-PRESERVING SANITIZATION IN DATA SHARING
متن کاملA centralized privacy-preserving framework for online social networks
There are some critical privacy concerns in the current online social networks (OSNs). Users' information is disclosed to different entities that they were not supposed to access. Furthermore, the notion of friendship is inadequate in OSNs since the degree of social relationships between users dynamically changes over the time. Additionally, users may define similar privacy settings for their f...
متن کاملFramework Design and Case Study for Privacy-Preserving Medical Data Publishing
With the pervasive using of Electronic Medical Records (EMR) and telemedicine technologies, more and more digital healthcare data are accumulated from multiple sources. As healthcare data is valuable for both commercial and scientific research, the demand of sharing healthcare data has been growing rapidly. Nevertheless, health care data normally contains a large amount of personal information,...
متن کاملPrivacy Preserving Data Mining
Through data mining collect large amount of data in many organizations. A key value of huge databases today is technical or financial research. In a huge collection of data there arises a key issue that is privacy. Due to personal interests, medical databases or business interests privacy is needed. Due to privacy infringement while performing the data mining operations this is often not possib...
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تاریخ انتشار 2004