Privacy Preserving Large-Scale Rating Data Publishing
نویسندگان
چکیده
منابع مشابه
Privacy - Preserving Data Publishing
The success of data mining relies on the availability of high quality data. To ensure quality data mining, effective information sharing between organizations becomes a vital requirement in today's society. Since data mining often involves person-specific and sensitive information like medical records, the public has expressed a deep concern about their privacy. Privacy-preserving data publishi...
متن کاملTowards Privacy Preserving Data Publishing∗
High quality and useful knowledge is to be found in the integrated data from various organizations, and the discovered knowledge is essential for building intelligent systems such as business analysis and health surveillance. However, concern about breaching privacy is a major obstacle of this process. This project aims to develop new efficient and effective techniques for privacy protection in...
متن کاملPrivacy preserving data publishing: Review
Privacy preserving data publishing (PPDP) methods a new class of privacy preserving data mining (PPDM) technology, has been developed by the research community working on security and knowledge discovery. It is common to share data between two organizations in many application areas. When data are to be shared between parties, there could be some sensitive patterns which should not be disclosed...
متن کاملPrivacy Preserving Data Publishing: A Classification Perspective
The concept of privacy is expressed as release of information in a controlled way. Privacy could also be defined as privacy decides what type of personal information should be released and which group or person can access and use it. Privacy Preserving Data Publishing (PPDP) is a way to allow one to share anonymous data to ensure protection against identity disclosure of an individual. Data ano...
متن کاملPreserving Individual Privacy in Serial Data Publishing
While previous works on privacy-preserving serial data publishing consider the scenario where sensitive values may persist over multiple data releases, we find that no previous work has sufficient protection provided for sensitive values that can change over time, which should be the more common case. In this work, we propose to study the privacy guarantee for such transient sensitive values, w...
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ژورنال
عنوان ژورنال: ICST Transactions on Scalable Information Systems
سال: 2013
ISSN: 2032-9407
DOI: 10.4108/trans.sis.2013.01-03.e3