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Differential Privacy for Dynamic Data

Af: Jerome Le Ny Engelsk Paperback

Differential Privacy for Dynamic Data

Af: Jerome Le Ny Engelsk Paperback
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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.


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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.


Produktdetaljer
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): Jerome Le Ny
Forfatter(e) Jerome Le Ny


Kategori Kybernetik og systemteori


ISBN-13 9783030410384


Sprog Engelsk


Indbinding Paperback


Sider 110


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 25 mar 2020


Oplagsdato 25 mar 2020


Forlag Springer Nature Switzerland AG

Kategori sammenhænge