Carnegie Mellon University

Anupam Das

Bin Liu

Florian Schaub

Norman Sadeh

Martin Degeling

A system comprises a IoT resource and a computing device of a user. The computing device comprises a processor that executes a personal privacy app that receives data about the IoT resource and communicates a preference setting for the user with respect to the IoT device. The preference setting is based on the data received about the IoT resource.

Personalized privacy assistant

A system and method configures permission settings for applications ('apps') running on a computing device of a user. A data center generates at least one model of collective privacy preferences. The computing device is in communication with the data center via a communications network. The computing device comprises a processor that execute at least a first app that requests access to at least one permission of the computing device and a personal privacy assistant app. The personal privacy assistant app receives the at least one model from the one or more servers of the data center; collects information about the user; identifies at least one recommended permission setting for the first app based on the at least one model and such that the recommended permission setting is user-specific; and configures the computing device to implement the received at least one user-specific recommended permission setting.

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Pittsburgh, PA, United States of America

Anupam Das