Information Flow Security in Tree-Manipulating Processes

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Details

Enterprise workflows and web services may be highly security critical, because they may be in control of important processes of organizations, while communicating with external partners over the network. On the other hand, these technologies frequently represent data as XML documents, which can be modeled as trees. Therefore, this work introduces general methods to enforce and verify information flow properties of computer programs, which are later specialized to tree-manipulating processes. First, the class of programs are considered that implement transformations from initial states into final states. A runtime monitor and a static analysis are introduced for the enforcement and verification of the information flow properties of these programs. Later, a model checking approach is presented, in order to verify systems that exchange a potentially unbounded sequence of data values with their environment during an execution. In all of the methods discussed abstraction techniques are applied to overapproximate the sets of positions of secrets in the tree-shaped data-values before they are released to the environment.

Autorentext

Máté Kovács has studied at the Budapest University of Technology and Economics, and later received his Ph.D. from the Technische Universität München in 2014. During his research he has contributed to numerous European and German projects, for example Sensoria, Hidenets and RS3. At the moment he works at the Technische Universität München.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783838138800
    • Sprache Englisch
    • Größe H220mm x B150mm x T10mm
    • Jahr 2014
    • EAN 9783838138800
    • Format Kartonierter Einband
    • ISBN 3838138805
    • Veröffentlichung 23.07.2014
    • Titel Information Flow Security in Tree-Manipulating Processes
    • Autor Máté Kovács
    • Untertitel Verifying Safety Hyperproperties Using Abstract Interpretation and Model Checking
    • Gewicht 244g
    • Herausgeber Südwestdeutscher Verlag für Hochschulschriften
    • Anzahl Seiten 152
    • Genre Informatik

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