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Model checking trace-based information flow properties
Details
Information flow properties are a way of specifying security properties of systems. A system is viewed as generating traces containing confidential and visible events (only the latter being observable by a low-level user) and the information flow properties specify restrictions on the kind of traces the system may generate, so as to restrict the amount of information a low-level user can infer about confidential events having taken place (or not) in an execution. Mantel identifies "basic security predicates or BSPs and shows them to be the building blocks of most of the known trace-based properties in the literature. Traditionally BSPs have been reasoned about via unwinding conditions that capture whether a system satisfies a particular BSP. First, we show that the checking of unwinding conditions can be simplified to checking conditions on a maximal simulation relation. Second, we show that the BSPs can be characterized in terms of regularity preserving language-theoretic operations. This leads to a decision procedure for checking whether a finite state system satisfies a given BSP. Finally, we prove that the problem of verifying BSPs for pushdown systems is undecidable.
Autorentext
Raghavendra obtained Bachelor of Engineering degree from Visveswaraiah Technological University, India. He obtained Master of Science (Engineering) degree for his thesis 'Verification of information flow properties'. Currently he is doing Ph.D. under the supervision of Prof. Deepak D'Souza at Indian Institute of Science.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783838377803
- Sprache Englisch
- Auflage Aufl.
- Größe H220mm x B150mm x T4mm
- Jahr 2012
- EAN 9783838377803
- Format Kartonierter Einband (Kt)
- ISBN 978-3-8383-7780-3
- Titel Model checking trace-based information flow properties
- Autor Raghavendra Kagalavadi Ramesh , Deepak D'Souza , Barbara Sprick
- Untertitel For finite state systems and pushdown systems
- Gewicht 112g
- Herausgeber LAP Lambert Academic Publishing
- Anzahl Seiten 64
- Genre Informatik