Paper Info
Title
An Efficient Anonymous Reputation System for Crowd Sensing
Abstract
Recently, crowd sensing has been intensively researched, due to the rapid growth of sensor-integrated mobile devices. Crowd sensing is a participatory sensing service where a server gathers and analyzes sensing data submitted from mobile devices of lots of users. In crowd sensing, the user's anonymity is desired, since the server gathers sensitive data from the participants including their GPS locations and moving path. However, the anonymous data submission may compromise the trust of the sensing data, because anonymous users may submit inappropriate sensing data, but they cannot be traced. Therefore, as the system to achieve both anonymity and trust in crowd sensing, ARTSense has been proposed. In the system, the trust of the sensing data is assessed on the sensed environment, other users' sensing, and the reputation of the user, and furthermore the reputation of the user is anonymously managed on the feedback from the trust assessment for the data. However, the anonymous reputation system of ARTSense has the efficiency problem, i.e., the user needs to wait a random time after the data submission phase before requesting the reputation update, which causes the communication delay. In this paper, we propose an efficient anonymous reputation system for crowd sensing, which can be integrated to the trust assessment in ARTSense. In the proposed system, during the data submission, the reputation update is anonymously completed. This is because the server does not manage the reputation of each user, but each user manages his/her reputation in the user side, where the the validity of the reputation is ensured by a certificate and anonymously checked by zero-knowledge proofs. Therefore, the proposed system achieves the better efficiency with no delay.
Year
DOI
Venue
2019
10.1109/CANDARW.2019.00071
2019 Seventh International Symposium on Computing and Networking Workshops (CANDARW)
Keywords
Field
DocType
crowd sensing, anonymity, trust assessment, reputation, zero-knowledge proofs, pairings
Reputation system,Computer security,Computer science,Mobile device,Global Positioning System,Anonymity,Participatory sensing,Zero-knowledge proof,Certificate,Reputation
Conference
ISBN
Citations 
PageRank 
978-1-7281-5269-1
0
0.34
References 
Authors
9
2
Name
Order
Citations
PageRank
Shahidatul Sadiah100.34
Toru Nakanishi221038.25