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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Evaluation of Jif and Joana as Information Flow Analyzers in a Model-Driven Approach
verfasst von : Kuzman Katkalov, Peter Fischer, Kurt Stenzel, Nina Moebius, Wolfgang Reif
Erschienen in: Data Privacy Management and Autonomous Spontaneous Security
Verlag: Springer Berlin Heidelberg
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Checking for information leaks in real-world applications is a difficult task. IFlow is a model-driven approach which allows to develop information flow-secure applications using intuitive modeling guidelines. It supports the automatic generation of partial Java code while also providing the developer with the ability to formally verify complex information flow properties. To simplify the formal verification, we integrate an automatic Java application information flow analyzer, allowing to check simple noninterference properties. In this paper, we evaluate both Jif and Joana as such analyzers to determine the best suiting information flow control tool in the context of, but not limited to the IFlow approach.