TY - GEN
T1 - On the interactions between privacy-preserving, incentive, and inference mechanisms in participatory sensing systems
AU - Vergara-Laurens, Idalides J.
AU - Mendez-Chaves, Diego
AU - Labrador, Miguel A.
PY - 2013
Y1 - 2013
N2 - In Participatory Sensing (PS) systems people agree to utilize their cellular phone resources to sense and transmit the data of interest. Although PS systems have the potential to collect enormous amounts of data to discover and solve new collective problems, they have not been very successful in practice, mainly because of lack of incentives for participation and privacy concerns. Therefore, several incentive and privacy-preserving mechanisms have been proposed. However, these mechanisms have been traditionally studied in isolation overseeing the interaction between them. In this paper we include a model and implement several of these mechanisms to study the interactions and effects that they may have on one another and, more importantly, on the quality of the information that the system provides to the final user. Our experiments show that privacy-preserving mechanisms and incentive mechanisms may in fact affect each other's performance and, more importantly, the quality of the information to the final user.
AB - In Participatory Sensing (PS) systems people agree to utilize their cellular phone resources to sense and transmit the data of interest. Although PS systems have the potential to collect enormous amounts of data to discover and solve new collective problems, they have not been very successful in practice, mainly because of lack of incentives for participation and privacy concerns. Therefore, several incentive and privacy-preserving mechanisms have been proposed. However, these mechanisms have been traditionally studied in isolation overseeing the interaction between them. In this paper we include a model and implement several of these mechanisms to study the interactions and effects that they may have on one another and, more importantly, on the quality of the information that the system provides to the final user. Our experiments show that privacy-preserving mechanisms and incentive mechanisms may in fact affect each other's performance and, more importantly, the quality of the information to the final user.
KW - P-sense
KW - Participatory sensing
KW - incentive mechanisms
KW - inference mechanisms
KW - privacy-preserving
UR - http://www.scopus.com/inward/record.url?scp=84883363934&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38631-2_47
DO - 10.1007/978-3-642-38631-2_47
M3 - Conference contribution
AN - SCOPUS:84883363934
SN - 9783642386305
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 614
EP - 620
BT - Network and System Security - 7th International Conference, NSS 2013, Proceedings
T2 - 7th International Conference on Network and System Security, NSS 2013
Y2 - 3 June 2013 through 4 June 2013
ER -