Sentence examples for methods for privacy from inspiring English sources
The subject of much theoretical investigation, these new technical methods for privacy protection have recently been making significant strides towards practical implementation.
This paper investigates practical methods for privacy preservation with X.509 standard certificates by providing conditional traceability for both identity and attribute certificates in the legacy systems.
Few traditional methods for privacy preserving in big data are described in brief here.
Methods for privacy preserving record linkage can be subsumed under the general field of privacy preserving data integration [ 2] which also comprises a vast literature on privacy preserving database joining and querying [ 5- 9].
This research seek to translate the promise of robust, formal measures for privacy and data utility from the theoretical computer science literature into a set of integrated practical tools and methods for privacy-protective data sharing.
Methods for privacy-preserving data dissemination based on the rigorous differential privacy standard have been developed but they did not consider the characteristics of biomedical data and make full use of the available information.
In this talk, Kobbi Nissim and Alexandra Wood will articulate the gap between legal and technical approaches to privacy and present a methodology for formally proving that a technological method for privacy protection satisfies the requirements of a particular law.
In Section 3, the discrete wavelet transform is introduced and the new image processing method for privacy information extraction is proposed.
Crowley et al. [5] proposed a method for privacy protection by replacing an socially inappropriate original image with a socially acceptable image using eigen-space coding technique.
To achieve this dual goal, we introduce a new method for privacy-preserving clustering called Dimensionality Reduction-Based Transformation (DRBT).
Cissée and Albayrak [18] develop a method for privacy-preserving recommender systems based on a multi-agent technology which enables applications to generate recommendations via various filtering techniques while preserving the privacy of all participants.
