The emergence of ubiquitous computing (UbiComp) environments has increased the risk undesired access to individuals’ physical space or their information, anytime and anywhere, raising potentially serious privacy concerns. Individuals lack awareness control vulnerabilities in everyday contexts need support care regulating disclosures digital selves. Existing GUI-based solutions, however, often f...

Social Network Sites (SNSs) offer a plethora of privacy controls, but users rarely exploit all of these mechanisms, nor do they do so in the same manner. We demonstrate that SNS users instead adhere to one of a small set of distinct privacy management strategies that are partially related to their level of privacy feature awareness. Using advanced Factor Analysis methods on the self-reported pr...

This special issue facilitates a dialog between researchers and practitioners toward informing the development of tools, techniques, other support mechanisms that are valuable to security privacy workers, leading more usable, secure, privacy-respecting solutions for end users.

In the era of data-driven communication, managing one’s online privacy is a necessary, yet burdensome challenge. While individuals have concerns about firms’ data collection practices, they sometimes appear to disclose personal information for relatively small rewards. We demonstrate that cynicism—an attitude toward protection characterized by frustration, hopelessness, and disillusionment—expl...

To quantify trade-offs between increasing demand for open data sharing and concerns about sensitive information disclosure, statistical privacy (SDP) methodology analyzes release mechanisms that sanitize outputs based on confidential data. Two dominant frameworks exist: disclosure control (SDC) the more recent differential (DP). Despite framing differences, both SDC DP share same problems at th...