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Architectural Optimization for Confidentiality Under Structural Uncertainty

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10448126" target="_blank" >RIV/00216208:11320/22:10448126 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-031-15116-3_14" target="_blank" >https://doi.org/10.1007/978-3-031-15116-3_14</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-15116-3_14" target="_blank" >10.1007/978-3-031-15116-3_14</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Architectural Optimization for Confidentiality Under Structural Uncertainty

  • Original language description

    More and more connected systems gather and exchange data. This allows building smarter, more efficient and overall better systems. However, the exchange of data also leads to questions regarding the confidentiality of these systems. Design notions such as Security by Design or Privacy by Design help to build secure and confidential systems by considering confidentiality already at the design-time. During the design-time, different analyses can support the architect. However, essential properties that impact confidentiality, such as the deployment, might be unknown during the design-time, leading to structural uncertainty about the architecture and its confidentiality. Structural uncertainty in the software architecture represents unknown properties about the structure of the software architecture. This can be, for instance, the deployment or the actual implementation of a component. For handling this uncertainty, we combine a design space exploration and optimization approach with a dataflow-based confidentiality analysis. This helps to estimate the confidentiality of an architecture under structural uncertainty. We evaluated our approach on four application examples. The results indicate a high accuracy regarding the found confidentiality violations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GC20-24814J" target="_blank" >GC20-24814J: FluidTrust – Enabling trust by fluid access control to data and physical resources in Industry 4.0 systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Software Architecture, 15th European Conference, ECSA 2021 Tracks and Workshops; Växjö, Sweden, September 13–17, 2021, Revised Selected Papers

  • ISBN

    978-3-031-15116-3

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    24

  • Pages from-to

    309-332

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Europe

  • Event date

    Sep 13, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000874750000014