The benefits of open data were realised worldwide since the past decades, and the efforts to move more data under the license of open data intensified. There was a steep rise of open data in government repositories. In our study, we point out that privacy is one of the consistent and leading barriers among others. Strong privacy laws restrict data owners from opening the data freely. In this paper, we attempted to study the applied solutions and to the best of our knowledge, we found that anonymity-preserving algorithms did a substantial job to protect privacy in the release of the structured microdata. Such anonymity-preserving algorithms argue and compete in objectivethat not only could the released anonymized data preserve privacy but al...
Methods for privacy-preserving data publishing and analysis trade off privacy risks for individuals ...
Anonymization of published microdata has become a very im-portant topic nowadays. The major difficul...
Today, the publication of microdata poses a privacy threat. Vast research has striven to define the ...
The collection, publication, and mining of personal data have become key drivers of innovation and v...
The collection, publication, and mining of personal data have become key drivers of innovation and v...
Data on individual subjects, which are increasingly gathered and exchanged, provide a rich amount of...
Privacy models such as k-anonymity and `-diversity typi-cally offer an aggregate or scalar notion of...
The vast amount of data being collected about individuals has brought new challenges in protecting t...
The vast amount of data being collected about individuals has brought new challenges in protecting t...
9th Conference on Metadata and Semantics Research (MTSR) -- SEP 09-11, 2015 -- Manchester, ENGLANDWO...
Today's globally networked society places great demand on the dissemination and sharing of informati...
In this information age, data and knowledge extracted by data mining techniques represent a key asse...
WOS: 000437851500012Individual privacy protection in the released data sets has become an important ...
Before statistical data, such as microdata, can be released to the public, it needs to be anonymised...
More and more public data sets which contain information about individuals are published in recent y...
Methods for privacy-preserving data publishing and analysis trade off privacy risks for individuals ...
Anonymization of published microdata has become a very im-portant topic nowadays. The major difficul...
Today, the publication of microdata poses a privacy threat. Vast research has striven to define the ...
The collection, publication, and mining of personal data have become key drivers of innovation and v...
The collection, publication, and mining of personal data have become key drivers of innovation and v...
Data on individual subjects, which are increasingly gathered and exchanged, provide a rich amount of...
Privacy models such as k-anonymity and `-diversity typi-cally offer an aggregate or scalar notion of...
The vast amount of data being collected about individuals has brought new challenges in protecting t...
The vast amount of data being collected about individuals has brought new challenges in protecting t...
9th Conference on Metadata and Semantics Research (MTSR) -- SEP 09-11, 2015 -- Manchester, ENGLANDWO...
Today's globally networked society places great demand on the dissemination and sharing of informati...
In this information age, data and knowledge extracted by data mining techniques represent a key asse...
WOS: 000437851500012Individual privacy protection in the released data sets has become an important ...
Before statistical data, such as microdata, can be released to the public, it needs to be anonymised...
More and more public data sets which contain information about individuals are published in recent y...
Methods for privacy-preserving data publishing and analysis trade off privacy risks for individuals ...
Anonymization of published microdata has become a very im-portant topic nowadays. The major difficul...
Today, the publication of microdata poses a privacy threat. Vast research has striven to define the ...