Abstract
Participatory sensing (PS) has recently attracted tremendous attention given its potential for a wide variety of sensing applications. Due to the fact that PS systems rely completely on the data provided by the users, incentivizing users' active participation while guaranteeing data reliability is paramount to effectively employ PS systems in practical scenarios. In this paper, we first define a set of attacks which compromise data reliability of existing PS applications. Next, we propose a scalable and secure trust-based framework, called FIDES, which relies on the concept of mobile security agents (MSAs) and Jsang's trust model to rule out incorrect reports and reward reliable users. By simulating the FIDES framework on mobility traces of taxi cabs in San Francisco, we demonstrate that FIDES secures the PS system from the proposed attacks, guarantees high data reliability, and saves significant amount of revenue with respect to existing reward mechanisms.
Recommended Citation
F. Restuccia and S. K. Das, "FIDES: A Trust-Based Framework for Secure User Incentivization in Participatory Sensing," Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, WoWMoM 2014, article no. 6918972, Institute of Electrical and Electronics Engineers, Oct 2014.
The definitive version is available at https://doi.org/10.1109/WoWMoM.2014.6918972
Department(s)
Computer Science
International Standard Book Number (ISBN)
978-147994786-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
08 Oct 2014
