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International Workshop on Security and Trust Management

STM 2017: Security and Trust Management pp 118–133Cite as

Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10547))

Abstract

Parental Control functionalities currently included in Smart TVs, DBS decoders and Pay TV services are cumbersome to use, not flexible and, in the end, are seldom used. This paper presents a framework for dynamic enforcement of parental control policies on Smart TV contents. The framework exploits an extended version of the Usage Control model able to dynamically grant, suspend and resume the right to access a content, based on the content classification and on the age of people currently in front of the Smart TV. An accurate age estimation is performed by mean of a cascade of two deep learning networks. We present an implementation of the proposed framework in a smart home environment, showing both simulated and real experiments for accuracy in classification and performance analysis.

This work has been partially funded by EU Funded projects: H2020 C3ISP, GA #700294, H2020 NeCS, GA #675320, and EIT Digital HII Trusted Data Management with Service Ecosystem.

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Notes

  1. 1.

    http://www.tvguidelines.org/resources/TV_Parental_guidelines_Brochure.pdf.

  2. 2.

    https://arxiv.org/abs/1502.00046.

  3. 3.

    http://dlib.net/.

  4. 4.

    https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/.

  5. 5.

    https://developer.android.com/reference/android/media/tv/TvContentRating.html.

  6. 6.

    https://github.com/ameerkat/imdb-to-sql.

  7. 7.

    http://www.videolan.org/vlc/index.it.html.

  8. 8.

    http://dlib.net/files/data/dlib_face_detection_dataset-2016-09-30.tar.gz.

  9. 9.

    http://vintage.winklerbros.net/facescrub.html.

  10. 10.

    http://www.robots.ox.ac.uk/~vgg/data/vgg_face/.

  11. 11.

    https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/.

  12. 12.

    https://www.youtube.com/watch?v=7cRJHdCrLMY.

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Authors and Affiliations

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

    Giacomo Giorgi, Antonio La Marra, Fabio Martinelli, Paolo Mori & Andrea Saracino

Authors
  1. Giacomo Giorgi
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  2. Antonio La Marra
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  3. Fabio Martinelli
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  4. Paolo Mori
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  5. Andrea Saracino
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Corresponding author

Correspondence to Andrea Saracino .

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Editors and Affiliations

  1. Università degli Studi di Milano, Crema, Italy

    Giovanni Livraga

  2. University of London, Egham, United Kingdom

    Chris Mitchell

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Giorgi, G., La Marra, A., Martinelli, F., Mori, P., Saracino, A. (2017). Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV. In: Livraga, G., Mitchell, C. (eds) Security and Trust Management. STM 2017. Lecture Notes in Computer Science(), vol 10547. Springer, Cham. https://doi.org/10.1007/978-3-319-68063-7_8

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  • DOI: https://doi.org/10.1007/978-3-319-68063-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68062-0

  • Online ISBN: 978-3-319-68063-7

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