Privacy-enhanced linking
نویسندگان
چکیده
منابع مشابه
Information Privacy Concerns: Linking Individual Perceptions with Institutional Privacy Assurances
Organizational information practices can result in a variety of privacy problems that can increase consumers’ concerns for information privacy. To explore the link between individuals and organizations regarding privacy, we study how institutional privacy assurances such as privacy policies and industry self-regulation can contribute to reducing individual privacy concerns. Drawing on Communica...
متن کاملEnhanced Linking Numbers
1. INTRODUCTION. The study of knots and links begins with simple intuitive problems but quickly leads to sophisticated mathematics. This paper will provide the reader with an accessible route that begins with basic knot theory and leads into interesting realms of modern research. The specific topic of the paper is the enhanced linking number, λ, a new invariant of links that provides a simple t...
متن کاملPrivacy-Enhanced Information Systems
Nach einem kurzen Überblick über den State-of-the-Art der Nutzung des Internets werden Prinzipien, Trends und Technologie für die Wahrung der Privatsphäre dargestellt. Daraus lassen sich vielfältige Modellierungs-, Infrastruktur-, Technologie-, Sozialund Rechtsprojekte zur Unterstützung von Privatsphäre im Internet ableiten. Ziel ist die Entwicklung einer erweiterten Infrastruktur, in der Priva...
متن کاملPrivacy-Enhanced Web Personalization
Consumer studies demonstrate that online users value personalized content. At the same time, providing personalization on websites seems quite profitable for web vendors. This win-win situation is however marred by privacy concerns since personalizing people's interaction entails gathering considerable amounts of data about them. As numerous recent surveys have consistently demonstrated, comput...
متن کاملPrivacy Enhanced Recommender System
Recommender systems are widely used in online applications since they enable personalized service to the users. The underlying collaborative filtering techniques work on user’s data which are mostly privacy sensitive and can be misused by the service provider. To protect the privacy of the users, we propose to encrypt the privacy sensitive data and generate recommendations by processing them un...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM SIGKDD Explorations Newsletter
سال: 2005
ISSN: 1931-0145,1931-0153
DOI: 10.1145/1117454.1117464