Uncertain Data Privacy Protection Based on K-Anonymity via Anatomy
نویسندگان
چکیده
منابع مشابه
Data Utility in Differential Privacy via Microaggregation-based k-Anonymity”
In addition to the general-purpose SSE-based utility evaluation conducted and discussed in the body of the article, in this appendix we provide evaluation results for a specific data use, namely counting queries. The reason of focusing on this data use is that many related works on differentially-private data publishing aim at preserving the utility for counting queries over protected data [12–...
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Often a data holder, such as a hospital or bank, needs to share person-specific records in such a way that the identities of the individuals who are the subjects of the data cannot be determined. One way to achieve this is to have the released records adhere to kanonymity, which means each released record has at least (k-1) other records in the release whose values are indistinct over those fie...
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In this paper, we solved a location privacy protection in location-based services (LBS) where the mobile user had to report her exact location information to an LBS provider for the purpose of obtaining her wished services. Location invisible had been well proposed and researched to defend user privacy. However, as the nature of the insecure wireless net environment the user’s location informat...
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The disclosure of sensitive information has become prominent nowadays; privacy preservation has become a research hotspot in the field of data security. Among all the algorithms of privacy preservation in data mining, K-anonymity is a kind of common and valid algorithm in privacy preservation, which can effectively prevent the loss of sensitive information under linking attacks, and it is widel...
متن کاملAnonymity: Formalisation of Privacy – k-anonymity
Microdata is the basis of statistical studies. If microdata is released, it can leak sensitive information about the participants, even if identifiers like name or social security number are removed. A proper anonymization for statistical microdata is essential. K-anonymity has been intensively discussed as a measure for anonymity in statistical data. Quasi identifiers are attributes that might...
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ژورنال
عنوان ژورنال: Advanced Engineering Forum
سال: 2012
ISSN: 2234-991X
DOI: 10.4028/www.scientific.net/aef.6-7.64