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DATA PRIVACY: DEFINITIONS AND TECHNIQUES

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012
The proper protection of data privacy is a complex task that requires a careful analysis of what actually has to be kept private. Several definitions of privacy have been proposed over the years, from traditional syntactic privacy definitions, which capture the protection degree enjoyed by data respondents with a numerical value, to more recent ...
S. De Capitani di Vimercati   +3 more
openaire   +2 more sources

Quantifying Privacy for Privacy Preserving Data Mining

2007 IEEE Symposium on Computational Intelligence and Data Mining, 2007
Data privacy is an important issue in data mining. How to protect respondents' data privacy during the data collection and mining process is a challenge to the security and privacy community. In this paper, we describe two schemes for privacy preserving naive Bayesian classification which is one of data mining tasks.
openaire   +1 more source

Privacy and Data Privacy Issues in Contemporary China

Ethics and Information Technology, 2005
Recent anthropological analyses of Chinese attitudes towards privacy fail to pay adequate attention to more ordinary, but more widely shared ideas of privacy --- ideas that, moreover, have changed dramatically since the 1980s as China has become more and more open to Western countries, cultures, and their network and computing technologies.
openaire   +1 more source

Data Privacy – Problems and Solutions

2007
Nowadays, the global information infrastructure connects remote parties worldwide through the use of large scale networks, relying on application level protocols and services such as the World Wide Web. The vast amounts of personal information thus available has led to growing concerns about the privacy of their users. In this paper, we briefly discuss
S. De Capitani di Vimercati, P. Samarati
openaire   +1 more source

Acquiring Key Privacy from Data Privacy

2011
A primary functionality of public key encryption schemes is data privacy, while in many cases key privacy (aka. anonymity of public keys) may also be important. Traditionally, one has to separately design/ prove them, because data privacy and key privacy were shown to be independent from each other [5,40]. Existing constructions of anonymous public key
openaire   +2 more sources

Differential Privacy Techniques for Cyber Physical Systems: A Survey

IEEE Communications Surveys and Tutorials, 2020
Muneeb Ul Hassan   +2 more
exaly  

Mobility Data and Privacy

2013
GIANNOTTI, FOSCA   +2 more
openaire   +4 more sources

When Machine Learning Meets Privacy

ACM Computing Surveys, 2022
Zihuai Lin, Bo Liu, Ming Ding
exaly  

Data privacy and confidentiality

Pharmacoepidemiology and Drug Safety, 1999
openaire   +2 more sources

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