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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/157080

Title:	Probabilistic Bisimulation for Parameterized Anonymity and Uniformity Verification
Authors:	洪智鐸 Hong, Chih-Duo;Lin, Anthony W.;Rümmer, Philipp;Majumdar, Rupak
Contributors:	資管系
Date:	2025-06
Issue Date:	2025-05-27 11:04:38 (UTC+8)
Abstract:	Bisimulation is crucial for verifying process equivalence in probabilistic systems. This paper presents a novel logical framework for analyzing bisimulation in probabilistic parameterized systems, namely, infinite families of finite-state probabilistic systems. Our framework is built upon the first-order theory of regular structures, which provides a decidable logic for reasoning about these systems. We show that essential properties like anonymity and uniformity can be encoded and verified within this framework in a manner aligning with the principles of deductive software verification, where systems, properties, and proofs are expressed in a unified decidable logic. By integrating language inference techniques, we achieve full automation in synthesizing candidate bisimulation proofs for anonymity and uniformity. We demonstrate the efficacy of our approach by addressing several challenging examples, including cryptographic protocols and randomized algorithms that were previously beyond the reach of fully automated methods.
Relation:	IEEE Transactions on Software Engineering, Vol.51, No.6, pp.1801-1817
Data Type:	article
DOI 連結:	https://doi.org/10.1109/TSE.2025.3567423
DOI:	10.1109/TSE.2025.3567423
Appears in Collections:	[資訊管理學系] 期刊論文

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