In data privacy, the evaluation of the disclosure risk has to take into account the fact that several releases of the same or similar information about a population are common. In this paper we discuss this issue within the scope of k-anonymity. We also show how this issue is related to the publication of privacy protected databases that consist of linked tables. We present algorithms for the implementation of k-anonymity for this type of data
Anonymization means to remove personal identifier or converted into non readable form by human to pr...
In this article we provide a formal framework for reidentification in general. We define n-confusion...
A technique for releasing information such that the ability to link the released data to other infor...
In data privacy, the evaluation of the disclosure risk has to take into account the fact that severa...
Abstract—The concept of k-anonymity has received considerable attention due to the need of several o...
The concept of k-anonymity has received considerable attention due to the need of several organizati...
Disclosure-control is a traditional statistical methodology for protecting pri-vacy when data is rel...
k-Anonymity protects privacy by ensuring that data cannot be linked to a single individual. In a k-a...
k-Anonymity is a privacy property requiring that all combinations of key attributes in a database be...
Data anonymization techniques based on the k-anonymity model have been the focus of intense research...
Consider a data holder, such as a hospital or a bank, that has a privately held collection of person...
K-anonymisation, as an approach to protecting data privacy, has received much recent attention from ...
We consider the problem of releasing a table containing personal records, while ensuring individual ...
In this work we present an algorithm for k-anonymization of datasets that are changing over time. It...
So that providing privacy guarantees to anonymized databases, anonymization models have emerged few ...
Anonymization means to remove personal identifier or converted into non readable form by human to pr...
In this article we provide a formal framework for reidentification in general. We define n-confusion...
A technique for releasing information such that the ability to link the released data to other infor...
In data privacy, the evaluation of the disclosure risk has to take into account the fact that severa...
Abstract—The concept of k-anonymity has received considerable attention due to the need of several o...
The concept of k-anonymity has received considerable attention due to the need of several organizati...
Disclosure-control is a traditional statistical methodology for protecting pri-vacy when data is rel...
k-Anonymity protects privacy by ensuring that data cannot be linked to a single individual. In a k-a...
k-Anonymity is a privacy property requiring that all combinations of key attributes in a database be...
Data anonymization techniques based on the k-anonymity model have been the focus of intense research...
Consider a data holder, such as a hospital or a bank, that has a privately held collection of person...
K-anonymisation, as an approach to protecting data privacy, has received much recent attention from ...
We consider the problem of releasing a table containing personal records, while ensuring individual ...
In this work we present an algorithm for k-anonymization of datasets that are changing over time. It...
So that providing privacy guarantees to anonymized databases, anonymization models have emerged few ...
Anonymization means to remove personal identifier or converted into non readable form by human to pr...
In this article we provide a formal framework for reidentification in general. We define n-confusion...
A technique for releasing information such that the ability to link the released data to other infor...