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A Temporal Logic for Strategic Hyperproperties

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posted on 2023-11-29, 18:18 authored by Raven BeutnerRaven Beutner, Bernd FinkbeinerBernd Finkbeiner
Hyperproperties are commonly used in computer security to define information-flow policies and other requirements that reason about the relationship between multiple computations. In this paper, we study a novel class of hyperproperties where the individual computation paths are chosen by the strategic choices of a coalition of agents in a multi-agent system. We introduce HyperATL^*, an extension of computation tree logic with path variables and strategy quantifiers. HyperATL^* can express strategic hyperproperties, such as that the scheduler in a concurrent system has a strategy to avoid information leakage. HyperATL^* is particularly useful to specify asynchronous hyperproperties, i.e., hyperproperties where the speed of the execution on the different computation paths depends on the choices of the scheduler. Unlike other recent logics for the specification of asynchronous hyperproperties, our logic is the first to admit decidable model checking for the full logic. We present a model checking algorithm for HyperATL^* based on alternating word automata, and show that our algorithm is asymptotically optimal by providing a matching lower bound. We have implemented a prototype model checker for a fragment of HyperATL^*, able to check various security properties on small programs.

History

Preferred Citation

Raven Beutner and Bernd Finkbeiner. A Temporal Logic for Strategic Hyperproperties. In: International Conference on Concurrency Theory (CONCUR). 2021.

Primary Research Area

  • Reliable Security Guarantees

Name of Conference

International Conference on Concurrency Theory (CONCUR)

Legacy Posted Date

2022-05-06

Open Access Type

  • Green

BibTeX

@inproceedings{cispa_all_3667, title = "A Temporal Logic for Strategic Hyperproperties", author = "Beutner, Raven and Finkbeiner, Bernd", booktitle="{International Conference on Concurrency Theory (CONCUR)}", year="2021", }

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