منابع مشابه
On the privacy offered by (k, δ)-anonymity
The widespread deployment of technologies with tracking capabilities, like GPS, GSM, RFID and on-line social networks, allows mass collection of spatio-temporal data about their users. As a consequence, several methods aimed at anonymizing spatio-temporal data before their publication have been proposed in recent years. Such methods are based on a number of underlying privacy models. Among thes...
متن کاملResearch on Privacy Preserving on K-anonymity
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 کاملProtecting Privacy by Multi-dimensional K-anonymity
Privacy protection for incremental data has a great effect on data availability and practicality. Kanonymity is an important approach to protect data privacy in data publishing scenario. However, it is a NP-hard problem for optimal k-anonymity on dataset with multiple attributes. Most partitions in k-anonymity at present are single-dimensional. Now research on k-anonymity mainly focuses on gett...
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...
متن کامل($k$,$\epsilon$)-Anonymity: $k$-Anonymity with $\epsilon$-Differential Privacy
The explosion in volume and variety of data offers enormous potential for research and commercial use. Increased availability of personal data is of particular interest in enabling highly customised services tuned to individual needs. Preserving the privacy of individuals against reidentification attacks in this fast-moving ecosystem poses significant challenges for a one-size fits all approach...
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ژورنال
عنوان ژورنال: Information Systems
سال: 2013
ISSN: 0306-4379
DOI: 10.1016/j.is.2012.12.003