Results 91 to 100 of about 7,115,390 (197)
sharingsomecode/test-anonymity: test-anonymity release 1.0.0
<p>First release for the project test-anonymity</p ...
sharingsomecode
core +1 more source
(α, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing
Privacy preservation is an important issue in the release of data for mining purposes. The k-anonymity model has been introduced for protecting individual identification.
Ke Wang +3 more
core
New Multi-dimensional Sorting Based K-Anonymity Microaggregation for Statistical Disclosure Control
In recent years, there has been an alarming increase of online identity theft and attacks using personally identifiable information. The goal of privacy preservation is to de-associate individuals from sensitive or microdata information. Microaggregation
Abdun Naser Mahmood +5 more
core +1 more source
Efficient Multi-Source Anonymity for Aggregated Internet of Vehicles Datasets
The widespread use of data makes privacy protection an urgent problem that must be addressed. Anonymity is a traditional technique that is used to protect private information.
Xingmin Lu, Wei Song
doaj +1 more source
Generating microdata with p-sensitive k-anonymity
. Existing privacy regulations together with large amounts of available data have created a huge interest in data privacy research. A main research direction is built around the k-anonymity property.
Paul Meyer +2 more
core
Privacy preserving data publishing of categorical data through k-anonymity and feature selection. [PDF]
Aristodimou A +2 more
europepmc +1 more source
Utility-Preserving k-Anonymity
As technology advances and more and more person-specific data like health information becomes publicly available, much attention is being given to confidentiality and privacy protection.
Rhonda Chaytor
core
The technique of k-anonymization has been proposed to obfuscate private data through associating it with at least k identities. This paper investigates the basic tabular structures that underline the notion of k-anonymization using cell suppression.
openaire +2 more sources
Many organisations are releasing microdata everyday for business and research purposes. This data does not include explicit identiers of an individual like name or address but it does contain data like date of birth, pin code, sex, marital-status etc ...
Saroha, Ankit
core
Protecting privacy using k-anonymity. [PDF]
El Emam K, Dankar FK.
europepmc +1 more source

