We apply our tool to analyze four online health communities to explore the sensitive data flow pattern and the leakage caused by diferent interactions. Our findings are alarming.

SenRev: Measurement of Personal Information Disclosure in Online Health Communities [PDF] Faysal Hossain Shezan (University of Virginia), Minjun Long (University of Virginia), David …

Our experimental evaluation includes the redaction of both password and health data, presenting both security risks and a privacy/regulatory issues. This is exacerbated by results that indicate …

In this paper, we propose SenRev to systematically measure the leakages of sensitive information in those publicly available discussions. We use SenRev to analyze 1,894,900 multi-modal and …

Although these devices en-able their users to monitor their activities and health, they also raise new security and privacy concerns, given the sensitive data (e.g., steps, heart rate) they …

While being beneficial to improve security and privacy for service providers, their solution requires strong trust assumption for the (central) validation service that learns all health-related details …

After collection from multiple sources and pre-processing and anonymization, in the fed-erated model, data from all domains (e.g., demographics, financial, health, etc.) are stored and easily …

Although these devices enable their users to monitor their activities and health, they also raise new security and privacy concerns, given the sensitive data (e.g., steps, heart rate) they …

A need is according to Ryan and Deci “an energizing state that, if satisfied, conduces toward health and well-being but, if not satisfied, contributes to pathology and ill-being” [47, pg.74].

Victims also reported the disclosure of health-related informa-tion as a type of CB, especially among respondents with disabilities. For example, “People say rude comments because of …