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 multi …

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

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 …

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 of the users.

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.

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 collect and the …

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 collect and the …

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 accessible …

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 what I am go-ing …

Additionally, open data access accel-erates medical/health research findings [7, 47]. Therefore, GWAS results should be made public whenever safely possible [53, 64].