Abstract
Participatory sensing is an emerging paradigm in which citizens voluntarily use their mobile phones to capture and share sensed data from their surrounding environment in order to monitor and analyze some phenomena (e.g., weather, road traffic, pollution, etc.). Malicious participants can disrupt the system by contributing corrupted, fabricated, or erroneous data. Different trust and reputation systems have been proposed in literature to monitor participants’ behavior and to estimate their honesty. A trust mapping function is exploited to assign a score to each contribution which reflects its quality as perceived by the application server. Thus, the application server can aggregate the data more accurately. In this paper, we compare different trust mapping functions and measure the accuracy of the aggregated data based on those functions.
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Mousa, H., Younes, O., Hadhoud, M. (2018). A Comparative Study of Trust Mapping Functions in Mobile Phone Participatory Sensing Applications. In: Hassanien, A., Shaalan, K., Gaber, T., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. AISI 2017. Advances in Intelligent Systems and Computing, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-64861-3_74
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DOI: https://doi.org/10.1007/978-3-319-64861-3_74
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