Private Information Retrieval

de Xun Yi, Elisa Bertino e Russell Paulet 

eBook
Bertrand.pt - Private Information Retrieval
idioma: Inglês
Editor: Springer International Publishing
Edição: maio de 2022
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37,09€
Poupe 3,71€ (10%) Cartão Leitor Bertrand
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This book deals with Private Information Retrieval (PIR), a technique allowing a user to retrieve an element from a server in possession of a database without revealing to the server which element is retrieved. PIR has been widely applied to protect the privacy of the user in querying a service provider on the Internet. For example, by PIR, one can query a location-based service provider about the nearest car park without revealing his location to the server. The first PIR approach was introduced by Chor, Goldreich, Kushilevitz and Sudan in 1995 in a multi-server setting, where the user retrieves information from multiple database servers, each of which has a copy of the same database. To ensure user privacy in the multi-server setting, the servers must be trusted not to collude. In 1997, Kushilevitz and Ostrovsky constructed the first single-database PIR. Since then, many efficient PIR solutions have been discovered. Beginning with a thorough survey of single-database PIR techniques,this text focuses on the latest technologies and applications in the field of PIR. The main categories are illustrated with recently proposed PIR-based solutions by the authors. Because of the latest treatment of the topic, this text will be highly beneficial to researchers and industry professionals in information security and privacy.

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Springer International Publishing
eBook
Private Information Retrieval
de Xun Yi, Elisa Bertino e Russell Paulet 
ISBN:
9783031023378
Ano de edição:
05-2022
Editor:
Springer International Publishing
Idioma:
Inglês
Páginas:
98
Tipo de Produto:
eBook
Formato:
PDF para ADE i
EAN:
9783031023378
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