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Querying Databases Privately : A New Approach to Private Information Retrieval / / by Dmitri Asonov



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Autore: Asonov Dmitri Visualizza persona
Titolo: Querying Databases Privately : A New Approach to Private Information Retrieval / / by Dmitri Asonov Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
Edizione: 1st ed. 2004.
Descrizione fisica: 1 online resource (XI, 120 p.)
Disciplina: 005.8
Soggetto topico: Library science
Information storage and retrieval
Database management
Application software
Computers and civilization
Computer networks
Library Science
Information Storage and Retrieval
Database Management
Information Systems Applications (incl. Internet)
Computers and Society
Computer Communication Networks
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: and Related Work -- 1 Introduction -- 2 Related Work -- Almost Optimal PIR -- 3 PIR with O(1) Query Response Time and O(1) Communication -- 4 Improving Processing and Preprocessing Complexity -- 5 Experimental Analysis of Shuffling Algorithms -- Generalizing the PIR Model -- 6 Repudiative Information Retrieval -- 7 Digital Rights Management for PIR -- Discussion -- 8 Conclusion and Future Work -- References.
Sommario/riassunto: The Internet and the World Wide Web (WWW) play an increasingly imp- tant role in our today’s activities. More and more we use the Web to buy goods and to inform ourselves about cultural, political, economical, medical, and scienti?c developments. For example, accessing ?ight schedules, me- cal data, or retrieving stock information become common practice in today’s world. Many people assume that there is no one who “watches” them when accessing this data. However,sensitive userswho accesselectronic shops(e-shops) might have observedthat this assumptionoften isnot true. In many cases,E-shopstrack the users’“accessbehavior”when browsingthe Web pagesof the e-shopthus deriving “accesspatterns” for individual shoppers. Therefore,this knowledge on access behavior and access patters allows the system to tailor access to Webpagesforthatusertohis/herspeci?cneedsinthefuture.Thistrackingof usersmightbeconsideredharmlessand“acceptable”inmanycases.However, in cases when this information is used to harm a person - for example about the person’s health problems - or to violate his/her privacy (for example ?nding out about his/her ?nancial situation), he/she would like to be sure that such tracking is impossible to protect the user’s rights.
Titolo autorizzato: Querying databases privately  Visualizza cluster
ISBN: 3-540-27770-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910767526503321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Computer Science, . 0302-9743 ; ; 3128