Title :
Peer-produced privacy protection
Author :
Garg, Vaibhav ; Patil, Swapnil ; Kapadia, Apu ; Camp, L. Jean
Author_Institution :
Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USA
Abstract :
Privacy risks have been addressed through technical solutions such as Privacy-Enhancing Technologies (PETs) as well as regulatory measures including Do Not Track. These approaches are inherently limited as they are grounded in the paradigm of a rational end user who can determine, articulate, and manage consistent privacy preferences. This assumes that self-serving efforts to enact privacy preferences lead to socially optimal outcomes with regard to information sharing. We argue that this assumption typically does not hold true. Consequently, solutions to specific risks are developed - even mandated - without effective reduction in the overall harm of privacy breaches. We present a systematic framework to examine these limitations of current technical and policy solutions. To address the shortcomings of existing privacy solutions, we argue for considering information sharing to be transactions within a community. Outcomes of privacy management can be improved at a lower overall cost if peers, as a community, are empowered by appropriate technical and policy mechanisms. Designing for a community requires encouraging dialogue, enabling transparency, and supporting enforcement of community norms. We describe how peer production of privacy is possible through PETs that are grounded in the notion of information as a common-pool resource subject to community governance.
Keywords :
data privacy; PET; peer-produced privacy protection; privacy management; privacy-enhancing technologies; Communities; Facebook; Information management; Monitoring; Positron emission tomography; Privacy;
Conference_Titel :
Technology and Society (ISTAS), 2013 IEEE International Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4799-1242-1
DOI :
10.1109/ISTAS.2013.6613114