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A Distributed Approach to Privacy on the Cloud (Paperback)

Francesco Pagano

ISBN 10: 3659448818 / ISBN 13: 9783659448812
Editorial: LAP Lambert Academic Publishing, 2013
Nuevos Condición: New Encuadernación de tapa blanda
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Language: English . Brand New Book. The increasing adoption of Cloud-based data processing and storage poses a number of privacy issues. Users wish to preserve full control over their sensitive data and cannot accept it to be fully accessible to an external storage provider. Previous research in this area was mostly addressed at techniques to protect data stored on untrusted database servers; however, I argue that the Cloud architecture presents a number of specific problems and issues. This work contains a detailed analysis of open issues. To handle them, I present a novel approach where confidential data is stored in a highly distributed partitioned database, partly located on the Cloud and partly on the clients. In my approach, data can be either private or shared; the latter is shared in a secure manner by means of simple grant-and-revoke permissions. I have developed a proof-of-concept implementation using an in?memory RDBMS with row-level data encryption. This type of approach is rarely adopted in conventional outsourced RDBMSs because it requires several complex steps. Benchmarks of my proof-of-concept implementation show that my approach overcomes most of the problems. N° de ref. de la librería KNV9783659448812

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Título: A Distributed Approach to Privacy on the ...

Editorial: LAP Lambert Academic Publishing

Año de publicación: 2013

Encuadernación: Paperback

Condición del libro: New

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Reseña del editor:

The increasing adoption of Cloud-based data processing and storage poses a number of privacy issues. Users wish to preserve full control over their sensitive data and cannot accept it to be fully accessible to an external storage provider. Previous research in this area was mostly addressed at techniques to protect data stored on untrusted database servers; however, I argue that the Cloud architecture presents a number of specific problems and issues. This work contains a detailed analysis of open issues. To handle them, I present a novel approach where confidential data is stored in a highly distributed partitioned database, partly located on the Cloud and partly on the clients. In my approach, data can be either private or shared; the latter is shared in a secure manner by means of simple grant-and-revoke permissions. I have developed a proof-of-concept implementation using an in-memory RDBMS with row-level data encryption. This type of approach is rarely adopted in conventional outsourced RDBMSs because it requires several complex steps. Benchmarks of my proof-of-concept implementation show that my approach overcomes most of the problems.

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