Friendly Fire
نویسندگان
چکیده
IoT platforms enable users to connect various smart devices and online services via reactive apps running on the cloud. These apps, often developed by third-parties, perform simple computations data triggered external information sources actuate results of sinks. Recent research shows that unintended or malicious interactions between different (even benign) a user can cause severe security safety risks. works leverage program analysis techniques build tools for unveiling unexpected interference across specific use cases. Despite these initial efforts, we are still lacking semantic framework understanding apps. The question what policy cross-app embodies remains largely unexplored. This article proposes capturing essence in platforms. generalizes connects syntactic enforcement mechanisms bisimulation-based notions security, thus providing baseline formulating soundness criteria mechanisms. Specifically, present calculus models behavioral semantics system executing concurrently, it define desirable policies targeting To demonstrate usefulness our framework, implement static analyses enforcing safety, prove them sound with respect conditions. We also real-world validate practical benefits based proposed
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The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any ...
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ژورنال
عنوان ژورنال: ACM transactions on privacy and security
سال: 2021
ISSN: ['2471-2574', '2471-2566']
DOI: https://doi.org/10.1145/3444963