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Bibliographic Details
Main Authors: Maity, Dipankar, Mai, Van Sy
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.09539
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author Maity, Dipankar
Mai, Van Sy
author_facet Maity, Dipankar
Mai, Van Sy
contents In this work, we address the objective of protecting the states of a distributed dynamical system from eavesdropping adversaries. We prove that state-of-the-art distributed algorithms, which rely on communicating the agents' states, are vulnerable in that the final states can be perfectly estimated by any adversary including those with arbitrarily small eavesdropping success probability. While existing literature typically adds an extra layer of protection, such as encryption or differential privacy techniques, we demonstrate the emergence of a fundamental protection quotient in distributed systems when innovation signals are communicated instead of the agents' states.
format Preprint
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institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Ensuring System-Level Protection against Eavesdropping Adversaries in Distributed Dynamical Systems
Maity, Dipankar
Mai, Van Sy
Systems and Control
In this work, we address the objective of protecting the states of a distributed dynamical system from eavesdropping adversaries. We prove that state-of-the-art distributed algorithms, which rely on communicating the agents' states, are vulnerable in that the final states can be perfectly estimated by any adversary including those with arbitrarily small eavesdropping success probability. While existing literature typically adds an extra layer of protection, such as encryption or differential privacy techniques, we demonstrate the emergence of a fundamental protection quotient in distributed systems when innovation signals are communicated instead of the agents' states.
title Ensuring System-Level Protection against Eavesdropping Adversaries in Distributed Dynamical Systems
topic Systems and Control
url https://arxiv.org/abs/2409.09539