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.
Inhaltsverzeichnis
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.
