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Privacy and Temporal Aware Allocation of Data in Decentralized Online Social Networks

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Green, Pervasive, and Cloud Computing (GPC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10232))

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Abstract

Distributed Online Social Networks (DOSNs) have recently been proposed to grant users more control over the data they share with the other users. Indeed, in contrast to centralized Online Social Networks (such as Facebook), DOSNs are not based on centralized storage services, because the contents shared by the users are stored on the devices of the users themselves. One of the main challenges in a DOSN comes from guaranteeing availability of the users’ contents when the data owner disconnects from the network. In this paper, we focus our attention on data availability by proposing a distributed allocation strategy which takes into account both the privacy policies defined on the contents and the availability patterns (online/offline) of the users in order to allocate their contents on trusted nodes. A linear predictor is used to model and to predict the availability status of the users in a future time interval, on the basis of their past temporal behaviour. We conduct a set of experiments on a set of traces taken from Facebook. The results prove the effectiveness of our approach by showing high availability of users’ profiles.

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Notes

  1. 1.

    International Telecommunication Union (ITU) - Measuring the Information Society Report 2016 http://www.itu.int/en/ITU-D/Statistics/Documents/publications/misr2016/MISR2016-w4.pdf.

  2. 2.

    http://joindiaspora.com.

  3. 3.

    https://www.facebook.com/SocialCircles-244719909045196/.

  4. 4.

    http://peersim.sourceforge.net/.

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Acknowledgements

This work has been partially funded by the project Big Data, Social Mining and Risk Management (PRA_2016_15), University of Pisa.

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Authors and Affiliations

  1. Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Via G. Moruzzi, 1, Pisa, Italy

    Andrea De Salve & Paolo Mori

  2. Department of Computer Science, University of Pisa, Largo Bruno Pontecorvo, Pisa, Italy

    Andrea De Salve, Barbara Guidi, Laura Ricci & Vincenzo Ambriola

Authors
  1. Andrea De Salve
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  2. Barbara Guidi
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  3. Paolo Mori
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  4. Laura Ricci
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  5. Vincenzo Ambriola
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Corresponding author

Correspondence to Andrea De Salve .

Editor information

Editors and Affiliations

  1. Hong Kong Polytechnic University, Hong Kong, Hong Kong

    Man Ho Allen Au

  2. University of Salerno, Fisciano, Italy

    Arcangelo Castiglione

  3. University of Texas at San Antonio, San Antonio, Texas, USA

    Kim-Kwang Raymond Choo

  4. University of Salerno, Fisciano, Italy

    Francesco Palmieri

  5. Providence University, Taichung City, Taiwan

    Kuan-Ching Li

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De Salve, A., Guidi, B., Mori, P., Ricci, L., Ambriola, V. (2017). Privacy and Temporal Aware Allocation of Data in Decentralized Online Social Networks. In: Au, M., Castiglione, A., Choo, KK., Palmieri, F., Li, KC. (eds) Green, Pervasive, and Cloud Computing. GPC 2017. Lecture Notes in Computer Science(), vol 10232. Springer, Cham. https://doi.org/10.1007/978-3-319-57186-7_19

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  • DOI: https://doi.org/10.1007/978-3-319-57186-7_19

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