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Evaluation of Jif and Joana as Information Flow Analyzers in a Model-Driven Approach

机译:基于模型驱动方法的Jif和Joana作为信息流分析器的评估

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摘要

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.
机译:在实际应用程序中检查信息泄漏是一项艰巨的任务。 IFlow是一种模型驱动的方法,允许使用直观的建模准则来开发信息流安全的应用程序。它支持自动生成部分Java代码,同时还为开发人员提供了正式验证复杂信息流属性的能力。为了简化形式验证,我们集成了自动Java应用程序信息流分析器,可以检查简单的非干扰属性。在本文中,我们评估了Jif和Joana这两种分析器,以确定但不限于IFlow方法的上下文中最适合的信息流控制工具。

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