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A Comparative Study of Trust Mapping Functions in Mobile Phone Participatory Sensing Applications

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017 (AISI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 639))

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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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Authors and Affiliations

  1. Faculty of Computers and Information, Menoufia University, Shibin El Kom, Egypt

    Hayam Mousa, Osama Younes & Mohiy Hadhoud

Authors
  1. Hayam Mousa
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  2. Osama Younes
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  3. Mohiy Hadhoud
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Corresponding author

Correspondence to Hayam Mousa .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64860-6

  • Online ISBN: 978-3-319-64861-3

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