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arXiv 2201.01670cs.FL
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词超语言

Finite-Word Hyperlanguages

Borzoo Bonakdarpour, Sarai Sheinvald

摘要:

形式语言是计算模型及其行为的核心。许多语言类的丰富的模型家族已经被广泛研究。超属性将传统的基于跟踪的语言从一组执行跟踪提升到一组执行跟踪。超属性已被证明是一个强大的形式主义表达和推理信息流的安全策略和网络物理系统的重要属性。虽然有一个广泛的工作机构的形式语言表示的跟踪属性,我们目前缺乏这样一个一般的表征超属性。我们介绍超语言的有限词和模型来表达它们。从本质上讲,这些模型通过对量化的单词变量进行赋值来表达多个单词。依托于正则语言的标准模型,我们提出了超正则表达式和有限字超自动机(NFH),用于建模的正则超语言类。我们证明了正则超语言表达有限迹的超性质的能力。我们探讨的封闭性和复杂性的基本决策问题,如非空性,普遍性,会员资格,并容纳各种片段的NFH。

英文摘要:

Formal languages are in the core of models of computation and their behavior. A rich family of models for many classes of languages have been widely studied. Hyperproperties lift conventional trace-based languages from a set of execution traces to a set of sets of executions. Hyperproperties have been shown to be a powerful formalism for expressing and reasoning about information-flow security policies and important properties of cyber-physical systems. Although there is an extensive body of work on formal-language representation of trace properties, we currently lack such a general characterization for hyperproperties. We introduce hyperlanguages over finite words and models for expressing them. Essentially, these models express multiple words by using assignments to quantified word variables. Relying on the standard models for regular languages, we propose hyperregular expressions and finite-word hyperautomata (NFH), for modeling the class of regular hyperlanguages. We demonstrate the ability of regular hyperlanguages to express hyperproperties for finite traces. We explore the closure properties and the complexity of the fundamental decision problems such as nonemptiness, universality, membership, and containment for various fragments of NFH.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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