The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Are you contributing trustworthy data?: the case for a reputation system in participatory sensing
Abstract
Participatory sensing is a revolutionary new paradigm in which volunteers collect and share information from their local environment using mobile phones. The inherent openness of this platform makes it easy to contribute corrupted data. This paper proposes a novel reputation system that employs the Gompertz function for computing device reputation score as a reflection of the trustworthiness of the contributed data. We implement this system in the context of a participatory noise monitoring application and conduct extensive real-world experiments using Apple iPhones. Experimental results demonstrate that our scheme achieves three-fold improvement in comparison with the state-of-the-art Beta reputation scheme.
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Cites
LOF: identifying density-based local outliers
Breunig, M. M., Kriegel, H.-P., Ng, R. T., & Sander, J. (2000) · ACM SIGMOD Record · doi:10.1145/335191.335388 · Cited by 5,207
LOF: identifying density-based local outliers
Breunig, M. M., Kriegel, H.-P., Ng, R. T., & Sander, J. (2000) · Proceedings of the 2000 ACM SIGMOD international conference on Management of data · doi:10.1145/342009.335388 · Cited by 4,149
Cited by
A location-based incentive mechanism for participatory sensing systems with budget constraints
Jaimes, L. G., Vergara-Laurens, I., & Labrador, M. A. (2012) · 2012 IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2012.6199855 · Cited by 256
Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
Wang, P., Yang, L. T., Li, J., Chen, J., & Hu, S. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.11.002 · Cited by 127
Metadata
- Authors
- Huang, K. L., Kanhere, S. S., & Hu, W.
- Venue
- Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
- Publisher
- ACM
- Published
- 2010-10-17
- Pages
- 14-22
- OpenAlex
- W2052880471
- Cited by
- 163
- References
- 2
- FWCI
- 6.39
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Huang, K. L., Kanhere, S. S., & Hu, W. (2010). Are you contributing trustworthy data?: the case for a reputation system in participatory sensing. Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems. https://doi.org/10.1145/1868521.1868526
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
