Elisa Bertino / Russell Paulet / Xun Yi
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.Table of Contents: Preface / Acknowledgments / Classic Private Information Retrieval / FHE-Based Private Information Retrieval / Private Data Warehouse Queries / Privacy-Preserving Location-Based Queries / Discussion and Future Work / Bibliography / Authors’ Biographies 3
