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Differential Privacy for Dynamic Data
Engelsk Paperback
Differential Privacy for Dynamic Data
Engelsk Paperback

573 kr
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Om denne bog

This Springer brief provides the necessary foundations to understand differential privacy and describes practical algorithms enforcing this concept for the publication of real-time statistics based on sensitive data. Several scenarios of interest are considered, depending on the kind of estimator to be implemented and the potential availability of prior public information about the data, which can be used greatly to improve the estimators'' performance. The brief encourages the proper use of large datasets based on private data obtained from individuals in the world of the Internet of Things and participatory sensing. For the benefit of the reader, several examples are discussed to illustrate the concepts and evaluate the performance of the algorithms described. These examples relate to traffic estimation, sensing in smart buildings, and syndromic surveillance to detect epidemic outbreaks.


Product detaljer
Sprog:
Engelsk
Sider:
110
ISBN-13:
9783030410384
Indbinding:
Paperback
Udgave:
ISBN-10:
3030410382
Udg. Dato:
25 mar 2020
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
25 mar 2020
Forfatter(e):
Kategori sammenhænge