An Efficient Anonymous Reputation System for Crowdsensing
Author:
Affiliation:
1. School of Electrical Engineering, Universiti Teknologi Malaysia
2. Graduate School of Advanced Science and Engineering, Hiroshima University
Publisher
Information Processing Society of Japan
Subject
General Computer Science
Link
https://www.jstage.jst.go.jp/article/ipsjjip/30/0/30_694/_pdf
Reference24 articles.
1. [1] Guo, B., Wang, Z., Yu, Z., Wang, Y., Yen, N.Y., Huang, R. and Zhou, X.: Mobile crowdsensing and Computing: The Review of an Emerging Human-powered Sensing Paradigm, ACM Comput. Surv., Vol.48, No.1, pp.7:1-7:31 (2015).
2. [2] Shin, M., Cornelius, C., Peebles, D. Kapadia, A., Kotz, D. and Triandopoulos, N.: AnonySense: A System for Anonymous Opportunistic Sensing, Pervasive and Mobile Computing, Vol.7, No.1, pp.16-30 (2011).
3. [3] Cristofaro, E.D. and Soriente, C.: Extended Capabilities for a Privacy-Enhanced Participatory Sensing Infrastructure (PEPSI), IEEE Trans. Information Forensics and Security, Vol.8, No.12, pp.2021-2033 (2013).
4. [4] Rahaman, S., Cheng, L., Yao, D.D., Li, H. and Park, J.J.: Provably Secure Anonymous-yet-Accountable Crowdsensing with Scalable Sublinear Revocation, PoPETs, Vol.2017, No.4, pp.384-403 (2017).
5. [5] Oscar, X., Cheng, W., Mohapatra, P. and Abdelzaher, T.: ARTSense: Anonymous Reputation and Trust in Participatory Sensing, 2013 Proc. IEEE INFOCOM, pp.2517-2525 (2013).
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1. A Strongly Unlinkable Group Signature Scheme with Matching-Based Verifier-Local Revocation for Privacy-Enhancing Crowdsensing;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2023-12-01
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