With the advent of mobile technology, a new class of applications, called participatory sensing (PS), is emerging, with which the ubiquity of mobile devices is exploited to collect data at scale. However, privacy and trust are the two significant barriers to the success of any PS system. First, the participants may not want to associate themselves with the collected data. Second, the validity of the contributed data is not verified, since the intention of the participants is not always clear. In this paper, we formally define the problem of privacy and trust in PS systems and examine its challenges. We propose a trustworthy privacy-aware framework for PS systems dubbed TAPAS, which enables the participation of the users without compromising their privacy while improving the trustworthiness of the collected data. Our experimental evaluations verify the applicability of our proposed approaches and demonstrate their efficiency.
(Publisher abstract provided.)
Downloads
Similar Publications
- Men Do Matter: Ethnographic Insights on the Socially Supportive Role of the African American Uncle in the Lives of Inner-City African American Male Youth
- Training police for procedural justice: An evaluation of officer attitudes, citizen attitudes, and police-citizen interactions
- Targeting youth at risk for gang involvement: Validation of a gang risk assessment to support individualized secondary prevention