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Adaptive Trust Management

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Book cover Self-organising Software

Part of the book series: Natural Computing Series ((NCS))

Abstract

Chapter 8 describes how computational trust and reputation can be utilised for selecting trustworthy software pieces in a dynamically self-organising software world. This chapter advances from static to dynamic software piece selection which is necessary since trustworthiness of software piece configurations may vary over time. In this chapter, an approach for adaptive trust management, which includes trust algorithms that automatically self-adapt depending on the application context, is described and exemplified in the domain of context-aware authentication applications.

The world constantly changes. How trust management can adapt to these changes?

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Author information

Authors and Affiliations

  1. University of Geneva, Geneva, Switzerland

    Jean-Marc Seigneur

  2. University of Luxembourg, Luxembourg-Kirchberg, Luxembourg

    Gabriele Lenzini

  3. Telematica Instituut, Enschede, The Netherlands

    Bob Hulsebosch

Authors
  1. Jean-Marc Seigneur
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  2. Gabriele Lenzini
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  3. Bob Hulsebosch
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Corresponding author

Correspondence to Jean-Marc Seigneur .

Editor information

Editors and Affiliations

  1. Centre Universitaire d'Informatique, Université de Genève, route de Drize 7, Carouge, 1227, Geneve, Switzerland

    Giovanna Di Marzo Serugendo

  2. , Institut de Recherche, Université Paul Sabatier, route de Narbonne 118, Toulouse, 31062, France

    Marie-Pierre Gleizes

  3. of Larissa, Dept. of Forestry, Technological Education Institute, Terma Mavromihali, Karditsa, 431 00, Greece

    Anthony Karageorgos

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Seigneur, JM., Lenzini, G., Hulsebosch, B. (2011). Adaptive Trust Management. In: Di Marzo Serugendo, G., Gleizes, MP., Karageorgos, A. (eds) Self-organising Software. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17348-6_15

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  • DOI: https://doi.org/10.1007/978-3-642-17348-6_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17347-9

  • Online ISBN: 978-3-642-17348-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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