Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 80 tok/s
Gemini 2.5 Pro 60 tok/s Pro
GPT-5 Medium 23 tok/s Pro
GPT-5 High 26 tok/s Pro
GPT-4o 87 tok/s Pro
Kimi K2 173 tok/s Pro
GPT OSS 120B 433 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Formal Verification of Parameterized Systems based on Induction (2503.18030v1)

Published 23 Mar 2025 in cs.LO and cs.SC

Abstract: Parameterized systems play a crucial role in the computer field, and their security is of great significance. Formal verification of parameterized protocols is especially challenging due to its "parameterized" feature, which brings complexity and undecidability. Existing automated parameterized verification methods have limitations, such as facing difficulties in automatically deriving parameterized invariants constrained by mixed Forall and Exists quantifiers, or having challenges in completing the parameterized verification of large and complex protocols. This paper proposes a formal verification framework for parameterized systems based on induction, named wiseParaverifier. It starts from small concretizations of protocols, analyzes inductive counterexamples, and constructs counterexample formulas to guide the entire process of parameterized verification. It also presents a heuristic Generalize method to quickly find auxiliary invariants, a method for promoting complex mixed quantifiers and merging parameterized invariants, and uses symmetric reduction ideas to accelerate the verification process. Experimental results show that wiseParaverifier can successfully complete automatic inductive verification on 7 cache coherence protocols and 10 distributed protocols. It has strong verification capabilities and migration capabilities, and can provide concise and readable verification results, which is helpful for learners to understand protocol behaviors.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.