With the development of body sensor networks and the pervasiveness of smart phones, different types of personal data can be collected in real time by body sensors, and the potential value of massive personal data has attracted considerable interest recently. However, the privacy issues of sensitive personal data are still challenging today. Aiming at these challenges, in this paper, we focus on...

Personal voice assistants (PVAs) are increasingly used as interfaces to digital environments. Voice commands interact with phones, smart homes, or cars. In the United States alone, number of speakers, such Amazon’s Echo and Google Home, has grown by 78% 118.5 million, 21% U.S. population own at least one device. Given increasing dependency society on PVAs, security privacy ...

The provision of advanced e-Government services has raised users’ concerns on personal data disclosure and privacy violation threats as more and more information is released to various governmental service providers. Towards this direction, the employment of Privacy Policies and Preferences has been proposed in an attempt to simplify the provision of electronic services while preserving users’ ...

Many Internet services rely on consumers disclosing their personal data. Despite heavy usage and wide acceptance of services like Online Social Networks, doubts about sustainability of trusted relationships remain. Surveying consumers about their preferences reveals severe concerns about the fate of their personal data. In stark contrast to privacy concerns (stated preferences), however, consum...

Location-based services (LBS), enabled by advances in mobile and positioning technologies, have afforded users with a pervasive flexibility to be uniquely addressable and to access network and services on-the-move. However, because LBS could also associate the lifestyle habits, behaviors, and movements with a consumer’s personal identity, privacy concerns are particularly salient for LBS. Drawi...

Although the importance of format and presentation of privacy notices has been extensively studied in the privacy literature, less explored is the interplay of presentation and content in influencing users’ disclosure decisions. In two experiments, we manipulate the content as well as the format of privacy notices shown to participants who were asked to choose whether they would like to disclos...

In many online applications, the range of content that is offered to users is so wide that a need for automated recommender systems arises. Such systems can provide a personalized selection of relevant items to users. In practice, this can help people find entertaining movies, boost sales through targeted advertisements, or help social network users meet new friends. To generate accurate person...

Discussions of information privacy typically rely on the idea that there is a tradeoff between privacy and availability of information. But privacy, under some circumstances, can lead to creation of more information. In this article, I identify such circumstances by exploring the ex ante incentives created by entitlements to personal data and evaluating the long-term effects of privacy. In so d...

OF THE DISSERTATION A Framework for Privacy-Enhanced Personalization By Yang Wang Doctor of Philosophy in Information and Computer Science University of California, Irvine, 2010 Professor Alfred Kobsa, Chair Web personalization has demonstrated to be advantageous for both online customers and vendors. However, its benefits may be severely counteracted by privacy constraints. Personalized system...

Open source and open data have been driving forces in bioinformatics in the past. However, privacy concerns may soon change the landscape, limiting future access to important data sets, including personal genomics data. Here we survey this situation in some detail, describing, in particular, how the large scale of the data from personal genomic sequencing makes it especially hard to share data,...