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How to Efficiently Process Uncertainty within a Cyberinfrastructure without Sacrificing Privacy and Confidentiality

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Computational Intelligence in Information Assurance and Security

Part of the book series: Studies in Computational Intelligence ((SCI,volume 57))

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Texas at El Paso, 500 W. University, 79968, El Paso, TX, USA

    Luc Longpré

  2. Department of Computer Science, University of Texas at El Paso, 500 W. University, 79968, El Paso, TX, USA

    Vladik Kreinovich

Authors
  1. Luc Longpré
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  2. Vladik Kreinovich
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Editors and Affiliations

  1. Faculdade de Engenharia, State University of Rio de Janeiro, Rua São Francisco Xavier 524 Sala 5022-D, 20550-900, Maracanã, Rio de Janeiro, Brazil

    Nadia Nedjah

  2. Centre for Quantifiable Quality of Service in Communication Systems (Q2S), Norwegian University of Science and Technology, O.S. Bragstads plass 2E, N-7491, Trondheim, Norway

    Ajith Abraham

  3. Faculdade de Engenharia, State University of Rio de Janeiro, Rua São Francisco Xavier 524 Sala 5022-D, 20550-900, Maracanã, Rio de Janeiro, Brazil

    Luiza de Macedo Mourelle

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Longpré, L., Kreinovich, V. (2007). How to Efficiently Process Uncertainty within a Cyberinfrastructure without Sacrificing Privacy and Confidentiality. In: Nedjah, N., Abraham, A., Mourelle, L.d.M. (eds) Computational Intelligence in Information Assurance and Security. Studies in Computational Intelligence, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71078-3_6

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