Deceptive Labeling: Hypergames on Graphs for Stealthy Deception
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Abstract (arXiv)
With the increasing sophistication of attacks on cyber-physical systems, deception has emerged as an effective tool to improve system security and safety by obfuscating the attacker's perception. In this paper, we present a solution to the deceptive game in which a control agent is to satisfy a Boolean objective specified by a co-safe temporal logic formula in the presence of an adversary. The agent intentionally introduces asymmetric information to create payoff misperception, which manifests as the misperception of the labeling function in the game model. Thus, the adversary is unable to accurately determine which logical formula is satisfied by a given outcome of the game. We introduce a model called hypergame on graph to capture the asymmetrical information with one-sided payoff misperception. Based on this model, we present the solution of such a hypergame and use the solution to synthesize stealthy deceptive strategies. Specifically, deceptive sure winning and deceptive almost-sure winning strategies are developed by reducing the hypergame to a two-player game and one-player stochastic game with reachability objectives. A running example is introduced to demonstrate the game model and the solution concept used for strategy synthesis.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Apr 2020.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 0; 2025: 3.
6 papers.
- 2021Deceptive Decision-Making Under Uncertaintycited by 8
- 2025Dynamic Coalition Structure Detection in Natural Language-based Interactionscited by 3
- 2022Deceptive Planning for Resource Allocationcited by 2
- 2025A Survey on Hypergame Theory: Modelling Misaligned Perceptions and Nested Beliefs for Multi-Agent Systemscited by 2
- 2021Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Surveycited by 1
- 2025Optimal sensor deception in stochastic environments with partial observability to mislead a robot to a decoy goalcited by 0
- 2025A Survey on Hypergame Theory: Modelling Misaligned Perceptions and Nested Beliefs for Multi-Agent Systems25 Jul 2025
- 2025Optimal sensor deception in stochastic environments with partial observability to mislead a robot to a decoy goal7 Mar 2025
- 2025Dynamic Coalition Structure Detection in Natural Language-based Interactions22 Feb 2025
- 2022Deceptive Planning for Resource Allocation2 Jun 2022
- 2021Deceptive Decision-Making Under Uncertainty14 Sep 2021
- 2021Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey21 Jan 2021