Context-based confidentiality analysis

CHF 38.75
Auf Lager
SKU
4Q064HDJ9ME
Stock 1 Verfügbar
Geliefert zwischen Mi., 26.11.2025 und Do., 27.11.2025

Details

In Industry 4.0 environments highly dynamic and flexible access control strategies are needed. The confidentiality analysis of the Trust 4.0 framework tries to solve the problem of analysing the security properties of a system using a context-based approach. Thus, there is a security model named "context metamodel". Another important problem is that the transformation of an instance of a security model to a wide-spread access control standard is often not possible. This is also the case for the context metamodel. That is why, this book considers the transformation to the XACML standard. Moreover, another transformation which is very interesting to consider is one to an ensemble based component system which is also presented in the Trust 4.0 project. This book introduces an extension to the beforementioned context metamodel in order to add more extensibility to it. Furthermore, the thesis deals with the creation of a concept and an implementation of the transformations mentioned above. The thesis also contains an evaluation of the presented extensions to the metamodel and an evaluation of the transformations.

Autorentext

This book was written by Jonathan Schenkenberger, born 05/14/1997 in Kandel. He achieved his university-entrance diploma at Europa-Gymnasium Wörth am Rhein in 2016. Thereafter, he studied Computer Science (Informatics) Bachelor Sc. at the KIT in Karlsruhe from 2016 to 2019.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786200788191
    • Sprache Englisch
    • Größe H220mm x B150mm x T4mm
    • Jahr 2020
    • EAN 9786200788191
    • Format Kartonierter Einband
    • ISBN 6200788197
    • Veröffentlichung 19.03.2020
    • Titel Context-based confidentiality analysis
    • Autor Jonathan Schenkenberger
    • Untertitel Context-based confidentiality analysisin dynamic Industry 4.0 scenarios
    • Gewicht 113g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 64
    • Genre Informatik

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470