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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
This book provides a database researcher or designer a complete, yet concise, overview of differential privacy and its deployment in database systems.
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.
The refereed proceedings of the 10th International Symposium on Spatial and Temporal Databases, SSTD 2007, held in Boston, MA, USA in July 2007. The 26 revised full papers were thoroughly reviewed and selected from a total of 76 submissions. The papers are classified in the following categories, each corresponding to a conference session: continuous monitoring, indexing and query processing, mining, aggregation and interpolation, semantics and modeling, privacy, uncertainty and approximation, streaming data, distributed systems, and spatial networks.
This book constitutes the refereed proceedings of the 10th International Symposium, PETS 2010, held in Berlin, Germany in July 2010. The 16 revised full papers were carefully reviewed and selected from 57 submissions for inclusion in the book. The papers handle topics such as access control, privacy of web based search, anonymus webs of trust, security attacks, active timing attacks in lo-latency anonymus communication, network topology and web search with malicious adversaries
This book constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Financial Cryptography and Data Security, FC 2011, held in Gros Islet, St. Lucia, in February/March 2011. The 16 revised full papers and 10 revised short papers presented were carefully reviewed and selected from 65 initial submissions. The papers cover all aspects of securing transactions and systems and feature current research focusing on fundamental and applied real-world deployments on all aspects surrounding commerce security; as well as on systems security and inter-disciplinary efforts.
This book constitutes the refereed proceedings of the 30th IFIP TC 11 International Information Security and Privacy Conference, SEC 2015, held in Hamburg, Germany, in May 2015. The 42 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers are organized in topical sections on privacy, web security, access control, trust and identity management, network security, security management and human aspects of security, software security, applied cryptography, mobile and cloud services security, and cyber-physical systems and critical infrastructures security.
This book constitutes the refereed proceedings of the Third International Conference on Provable Security, ProvSec 2009, held in Guangzhou, China, November 11-13, 2009. The 19 revised full papers and two invited talks presented were carefully reviewed and selected from 64 submissions. The papers are organized in topical sections on encryption, digital signature, cryptographic protocols and reduction and privacy.
This comprehensive encyclopedia provides easy access to information on all aspects of cryptography and security. The work is intended for students, researchers and practitioners who need a quick and authoritative reference to areas like data protection, network security, operating systems security, and more.
The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.