Querying Databases Privately
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Querying Databases Privately
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
Privacy in Location-Based Applications
Author: Claudio Bettini
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-07-30
Location-based applications refer to those that use location data in a prominent manner. Location data can be very effective for service provisioning, enabling the birth of a new generation of information services. Although data security and privacy issues have been extensively investigated in several domains, current techniques are not readily applicable to location-based applications. Conciliating the effectiveness of these applications with privacy concerns constitutes a unique challenge, mostly due to the semantic richness of location and time information. Research in this field involves aspects of spatio-temporal reasoning, query processing, system security, statistical inference, and more importantly, anonymization techniques. Several research groups have been working in recent years to identify privacy attacks and defense techniques in this domain. This state-of-the-art survey provides a solid ground for researchers approaching this topic to understand current achievements through a common categorization of privacy threats and defense techniques. This objective is particularly challenging considering the specific (and often implicit) assumptions that characterize the recent literature on privacy in location-based services. The book also illustrates the many facets that make the study of this topic a particularly interesting research subject, including topics that go beyond privacy preserving transformations of service requests, and include access control, privacy preserving publishing of moving object data, privacy in the use of specific positioning technology, and privacy in vehicular network applications.
Differential Privacy for Databases
This book provides a database researcher or designer a complete, yet concise, overview of differential privacy and its deployment in database systems.