Dmitri Asonov

Querying Databases Privately

A New Approach to Private Information Retrieval

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Lecture Notes in Computer Science 3128
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 11018001, 978-3-540-22441-9
• 2004
• Seitenzahl: 136
• Erscheinungstermin: 29. Juni 2004
• Englisch
• Abmessung: 235mm x 155mm x 8mm
• Gewicht: 214g
• ISBN-13: 9783540224419
• ISBN-10: 3540224416
• Artikelnr.: 13050183

Autorenporträt

Dmitri Asonov, IBM Almaden Research Center, San Jose, CA, USA

Inhaltsangabe

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.