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Identifying Colluding Actors in Social Communities by Reputation Measures

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Applied Intelligence and Informatics (AII 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1724))

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Abstract

In real and virtual communities, complex and sophisticated forms of social interactions and cooperation are increasingly taking place between heterogeneous actors such as people, intelligent objects and virtual entities. At the same time, in such communities the risks of interacting with unreliable partners engaged in malicious activities increase. Therefore, it is important to provide all players with adequate information in order to allow them to choose the most reliable partner to interact with. In this context, we have focused our attention on colluding activities. In particular we propose a reputation method that preliminarily identifies those actors who most likely can be considered colluding players. This method does not introduce side effects to trust scores of honest actors while detecting colluding ones with high accuracy. A simple example supports our results.

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Notes

  1. 1.

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Author information

Authors and Affiliations

  1. DIIES - Mediterranea University of Reggio Calabria, via Graziella snc, loc., Feo di Vito, 98123, Reggio Calabria, Italy

    Mariantonia Cotronei, Sofia Giuffrè, Attilio Marcianò & Domenico Rosaci

  2. Department of Psychology, University of Milan at Bicocca, P.za della Ateneo Nuovo, 1, 20126, Milan, Italy

    Giuseppe M. L. Sarnè

Authors
  1. Mariantonia Cotronei
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  2. Sofia Giuffrè
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  3. Attilio Marcianò
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  4. Domenico Rosaci
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  5. Giuseppe M. L. Sarnè
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Corresponding author

Correspondence to Attilio Marcianò .

Editor information

Editors and Affiliations

  1. Nottingham Trent University, Nottingham, UK

    Mufti Mahmud

  2. University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    Cosimo Ieracitano

  3. Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  4. University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    Nadia Mammone

  5. University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    Francesco Carlo Morabito

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Cotronei, M., Giuffrè, S., Marcianò, A., Rosaci, D., Sarnè, G.M.L. (2022). Identifying Colluding Actors in Social Communities by Reputation Measures. In: Mahmud, M., Ieracitano, C., Kaiser, M.S., Mammone, N., Morabito, F.C. (eds) Applied Intelligence and Informatics. AII 2022. Communications in Computer and Information Science, vol 1724. Springer, Cham. https://doi.org/10.1007/978-3-031-24801-6_25

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