Accession Number:

AD1044904

Title:

A PLATFORM FOR CONTEXTUAL MOBILE PRIVACY

Descriptive Note:

Technical Report,01 Jun 2016,31 Jul 2017

Corporate Author:

INTERNATIONAL COMPUTER SCIENCE INST BERKELEY CA BERKELEY United States

Personal Author(s):

• Egelman,Serge
• Good,Nathan

Report Date:

2017-12-01

Pagination or Media Count:

90.0

Abstract:

We developed a system that balances the privacy needs of users and organizations when using personal devices in the workplace-- Bring Your Own Device BYOD environments. In so doing, we performed qualitative interviews with extreme users, to under- stand their privacy needs, the shortcomings of current systems, and their existing coping mechanisms. Based on these interviews, we developed a system that applies machine-learning to automatically infer when access to sensitive data is likely to be expected by the user. We performed a field study to collect real-world training data to train the classifier offline. In parallel, we performed an online study to evaluate designs for a user interface i.e., a privacy management dashboard. Based on our study results, we implemented our designs into the Android platform and performed a subsequent field study to validate our designs.

Descriptors:

• PERSONAL DIGITAL ASSISTANTS
• MOBILE DEVICES
• smart phones
• Employee relations

Subject Categories:

• Non-Radio Communications
• Personnel Management and Labor Relations

Distribution Statement:

APPROVED FOR PUBLIC RELEASE