Opacity Enforcing Supervisory Control using Non-deterministic Supervisors
Yifan Xie, Xiang Yin, Shaoyuan Li

TL;DR
This paper introduces a novel method for enforcing opacity in discrete-event systems using non-deterministic supervisors, which enhance system privacy by making control decisions less predictable and more difficult for intruders to infer secret states.
Contribution
The paper proposes a new non-deterministic supervisory control approach for opacity enforcement, with a complete synthesis algorithm and proof of its superiority over deterministic supervisors.
Findings
Non-deterministic supervisors can enforce opacity where deterministic ones cannot.
A sound and complete algorithm for synthesizing non-deterministic supervisors is provided.
Non-deterministic supervisors increase system privacy through probabilistic decision-making.
Abstract
In this paper, we investigate the enforcement of opacity via supervisory control in the context of discrete-event systems. A system is said to be opaque if the intruder, which is modeled as a passive observer, can never infer confidently that the system is at a secret state. The design objective is to synthesize a supervisor such that the closed-loop system is opaque even when the control policy is publicly known. In this paper, we propose a new approach for enforcing opacity using non-deterministic supervisors. A non-deterministic supervisor is a decision mechanism that provides a set of control decisions at each instant, and randomly picks a specific control decision from the decision set to actually control the plant. Compared with the standard deterministic control mechanism, such a non-deterministic control mechanism can enhance the plausible deniability of the controlled system as…
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Taxonomy
TopicsPetri Nets in System Modeling · Distributed systems and fault tolerance · Security and Verification in Computing
