# Information-Theoretic Privacy through Chaos Synchronization and Optimal   Additive Noise

**Authors:** Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic

arXiv: 1906.00577 · 2019-07-17

## TL;DR

This paper introduces a privacy-preserving method using synchronized chaotic oscillators to generate optimal additive noise, minimizing information leakage in data queries over public channels.

## Contribution

It proposes a novel approach combining chaos synchronization with convex optimization to enhance data privacy in communication systems.

## Key findings

- Optimal noise distribution reduces mutual information effectively.
- Chaotic oscillators can be synchronized to generate identical noise realizations.
- Simulations demonstrate the method's effectiveness in privacy preservation.

## Abstract

We study the problem of maximizing privacy of data sets by adding random vectors generated via synchronized chaotic oscillators. In particular, we consider the setup where information about data sets, queries, is sent through public (unsecured) communication channels to a remote station. To hide private features (specific entries) within the data set, we corrupt the response to queries by adding random vectors. We send the distorted query (the sum of the requested query and the random vector) through the public channel. The distribution of the additive random vector is designed to minimize the mutual information (our privacy metric) between private entries of the data set and the distorted query. We cast the synthesis of this distribution as a convex program in the probabilities of the additive random vector. Once we have the optimal distribution, we propose an algorithm to generate pseudo-random realizations from this distribution using trajectories of a chaotic oscillator. At the other end of the channel, we have a second chaotic oscillator, which we use to generate realizations from the same distribution. Note that if we obtain the same realizations on both sides of the channel, we can simply subtract the realization from the distorted query to recover the requested query. To generate equal realizations, we need the two chaotic oscillators to be synchronized, i.e., we need them to generate exactly the same trajectories on both sides of the channel synchronously in time. We force the two chaotic oscillators into exponential synchronization using a driving signal. Simulations are presented to illustrate our results.

## Full text

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## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/1906.00577/full.md

## References

58 references — full list in the complete paper: https://tomesphere.com/paper/1906.00577/full.md

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Source: https://tomesphere.com/paper/1906.00577