Trust Based Participant Driven Privacy Control in Participatory Sensing

TL;DR

This paper proposes a trust-based model for privacy control in participatory sensing, enabling peers to share personal data selectively based on trust and institutional controls, thereby enhancing privacy and cooperation.

Contribution

It introduces a novel trust and opinion-based framework that incorporates institutional controls to improve privacy management in participatory sensing environments.

Findings

Trust-based sharing increases privacy protection.

The model improves cooperation among peers.

Institutional controls influence trust dynamics.

Abstract

Widespread use of sensors and multisensory personal devices generate a lot of personal information. Sharing this information with others could help in various ways. However, this information may be misused when shared with all. Sharing of information between trusted parties overcomes this problem. This paper describes a model to share information based on interactions and opinions to build trust among peers. It also considers institutional and other controls, which influence the behaviour of the peers. The trust and control build confidence. The computed confidence bespeaks whether to reveal information or not thereby increasing trusted cooperation among peers.