Abstract. This paper shows a new method which promotes ownership of data by people about whom the data was collected. The data owner may preclude the data from being used for some purposes, and allow it to be used for other purposes. We show an approach, based on checking the proofs of program properties, which implements this idea and provides a tool for a veriable implementation of the Use Limitation Principle. The paper discusses in detail a scheme which implements data privacy following the proposed approach, presents the technical components of the solution, and shows a detailed example. We also discuss a mechanism by which the proposed method could be introduced in industrial practice.
With the onset of the digital revolution, organizations are increasingly maintaining a huge amount o...
The main aim of Data mining techniques are to try to find out helpful patterns from the data that is...
With recent privacy failures in the release of personal data, dieren-tial privacy received considera...
To control data mining process for different users with different privileges, two approaches were de...
Recently, it is observed that data mining technique may come across two problems- potential discrimi...
Abstract – The sharing of data is often beneficial in data mining applications. It has been proven u...
Despite enormous benefits and the extremely fast proliferation of data mining in recent years, data ...
Abstract — Recent interest in the collection and monitoring of data using data mining technology for...
Issues about privacy-preserving data mining (PPDM) have emerged globally. The recent proliferation i...
Abstract: Data mining is the process to look for hidden patterns and trends in data that is not imme...
Data mining operations have become prevalent as they can extract trends or patterns that help in ta...
We consider the problem of data mining with formal privacy guarantees, given a data access interface...
In recent years, the concerns about the privacy for the electronic data collected by government agen...
121 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.The study presents some effec...
Data mining services require accurate input data for their results to be meaningful, but privacy con...
With the onset of the digital revolution, organizations are increasingly maintaining a huge amount o...
The main aim of Data mining techniques are to try to find out helpful patterns from the data that is...
With recent privacy failures in the release of personal data, dieren-tial privacy received considera...
To control data mining process for different users with different privileges, two approaches were de...
Recently, it is observed that data mining technique may come across two problems- potential discrimi...
Abstract – The sharing of data is often beneficial in data mining applications. It has been proven u...
Despite enormous benefits and the extremely fast proliferation of data mining in recent years, data ...
Abstract — Recent interest in the collection and monitoring of data using data mining technology for...
Issues about privacy-preserving data mining (PPDM) have emerged globally. The recent proliferation i...
Abstract: Data mining is the process to look for hidden patterns and trends in data that is not imme...
Data mining operations have become prevalent as they can extract trends or patterns that help in ta...
We consider the problem of data mining with formal privacy guarantees, given a data access interface...
In recent years, the concerns about the privacy for the electronic data collected by government agen...
121 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.The study presents some effec...
Data mining services require accurate input data for their results to be meaningful, but privacy con...
With the onset of the digital revolution, organizations are increasingly maintaining a huge amount o...
The main aim of Data mining techniques are to try to find out helpful patterns from the data that is...
With recent privacy failures in the release of personal data, dieren-tial privacy received considera...