Information privacy

About: Information privacy is a research topic. Over the lifetime, 25412 publications have been published within this topic receiving 579611 citations. The topic is also known as: data privacy & data protection.

Strangers on a Plane: Context-Dependent Willingness to Divulge Sensitive Information

Abstract: New marketing paradigms that exploit the capabilities for data collection, aggregation, and dissemination introduced by the Internet provide benefits to consumers but also pose real or perceived privacy hazards. In four experiments, we seek to understand consumer decisions to reveal or withhold information and the relationship between such decisions and objective hazards posed by information revelation. Our central thesis, and a central finding of all four experiments, is that disclosure of private information is responsive to environmental cues that bear little connection, or are even inversely related, to objective hazards. We address underlying processes and rule out alternative explanations by eliciting subjective judgments of the sensitivity of inquiries (experiment 3) and by showing that the effect of cues diminishes if privacy concern is activated at the outset of the experiment (experiment 4). This research highlights consumer vulnerabilities in navigating increasingly complex privacy issues intro...

Purpose based access control of complex data for privacy protection

Abstract: As privacy becomes a major concern for both consumers and enterprises, many research efforts have been devoted to the development of privacy protecting technology. We recently proposed a privacy preserving access control model for relational databases,where purpose information associated with a given data element specifies the intended use of the data element. In this paper, we extend our previous work to handle other advanced data managementsystems, such as the ones based on XML and the ones based on the object-relational data model. Another contribution of our paper isthat we address the problem of how to determine the purpose forwhich certain data are accessed by a given user. Our proposedsolution relies on the well-known RBAC model as well as the notionof conditional role which is based on the notions of role attributeand system attribute.

Privacy-preserving collaborative filtering using randomized perturbation techniques

Abstract: Collaborative filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. To conduct collaborative filtering, data from customers are needed. However, collecting high quality data from customers is not an easy task because many customers are so concerned about their privacy that they might decide to give false information. We propose a randomized perturbation (RP) technique to protect users' privacy while still producing accurate recommendations.

"You Might Also Like:" Privacy Risks of Collaborative Filtering

Abstract: Many commercial websites use recommender systems to help customers locate products and content. Modern recommenders are based on collaborative filtering: they use patterns learned from users' behavior to make recommendations, usually in the form of related-items lists. The scale and complexity of these systems, along with the fact that their outputs reveal only relationships between items (as opposed to information about users), may suggest that they pose no meaningful privacy risk. In this paper, we develop algorithms which take a moderate amount of auxiliary information about a customer and infer this customer's transactions from temporal changes in the public outputs of a recommender system. Our inference attacks are passive and can be carried out by any Internet user. We evaluate their feasibility using public data from popular websites Hunch, Last. fm, Library Thing, and Amazon.

Disrupting Class How Disruptive Innovation Will Change the Way the World Learns

Abstract: (2009). Disrupting Class How Disruptive Innovation Will Change the Way the World Learns. Journal of Information Privacy and Security: Vol. 5, No. 4, pp. 70-71.