项重写系统抽象的时间正则性验证

B. Boyer, T. Genet
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引用次数: 6

摘要

树形自动机补全是一种用于证明系统安全特性的算法,该算法可由术语重写系统建模。这种表示和验证技术可以很好地证明无限系统的特性,例如加密协议或最近的Java字节码程序。该算法通过重写初始项来计算树形自动机,该自动机表示可达项集的(正则)过逼近。这种方法的局限性在于缺乏关于改写术语之间关系的信息。实际上,通过重写而产生关系的项是在同一个等价类中:它们在树自动机中被相同的状态所识别。我们的目标是产生一个嵌入重写关系抽象的自动机,足以证明术语重写系统的时间性质。我们建议扩展该算法,以产生具有更多等价类的自动机,以区分项或子项与其后继项的w.r.t.重写。地面转换用于识别项的等价类,而e-转换表示项之间的重写关系。从完成的自动机中,可以自动构建一个抽象重写序列的Kripke结构。Kripke结构的状态是树自动机的状态,转换关系由e-转换集给出。Kripke结构的状态用地面跃迁识别的一组项来标记。在这种Kripke结构上,我们定义了正则线性时间逻辑(R-LTL)来表示性质。然后可以使用标准模型检查算法检查这些属性。LTL和R-LTL之间的唯一区别是谓词被可接受的术语的常规集合所取代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Verifying Temporal Regular Properties of Abstractions of Term Rewriting Systems
The tree automaton completion is an algorithm used for proving safety properties of systems that can be modeled by a term rewriting system. This representation and verification technique works well for proving properties of infinite systems like cryptog raphic protocols or more recently on Java Bytecode programs. This algorithm computes a tree automaton which represents a (regular) over approximation of the set of reachable terms by rewriting initial terms. This approach is limited by the lack of information about rewriting relation between terms. Actually, terms in relation by rewriting are in the same equivalence class: there are recognized by the same state in the tree automaton. Our objective is to produce an automaton embedding an abstraction of the rewriting relation sufficient to prove temporal properties of the term rewritin g system. We propose to extend the algorithm to produce an automaton having more equivalence classes to distinguish a term or a subterm from its successors w.r.t. rewriting. While ground transitions are used to recognize equivalence classes of terms, e-transitions represent the rewriting relation between terms. From the completed automaton, it is possible to automatically build a Kripke structure abstracting the rewriting sequence. States of the Kripke stru cture are states of the tree automaton and the transition relation is given by the set of e-transitions. States of the Kripke structure are labelled b y the set of terms recognized using ground transitions. On this Kripke structure, we define the Regular Linear Temporal Logic (R-LTL) for expressing properties. Such properties can then be checked using standard model checking algorithms. The only difference between LTL and R-LTL is that predicates are replaced by regular sets of acceptable terms.
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