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Main Authors: Wu, Jiawei, Hayashi, Masahito, Tomamichel, Marco
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2501.00281
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author Wu, Jiawei
Hayashi, Masahito
Tomamichel, Marco
author_facet Wu, Jiawei
Hayashi, Masahito
Tomamichel, Marco
contents Noisy channels are a foundational resource for constructing cryptographic primitives such as string commitment and oblivious transfer. The noisy channel model has been extended to unfair noisy channels, where adversaries can influence the parameters of a memoryless channel. In this work, we introduce the unstructured noisy channel model as a generalization of the unfair noisy channel model to allow the adversary to manipulate the channel arbitrarily subject to certain entropic constraints. We present a string commitment protocol with established security and derive its achievable commitment rate, demonstrating the feasibility of commitment against this stronger class of adversaries. Furthermore, we show that the entropic constraints in the unstructured noisy channel model can be derived from physical assumptions such as noisy quantum storage. Our work thus connects two distinct approaches to commitment, i.e., the noisy channel and physical limitations.
format Preprint
id arxiv_https___arxiv_org_abs_2501_00281
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle String commitment from unstructured noise
Wu, Jiawei
Hayashi, Masahito
Tomamichel, Marco
Information Theory
Cryptography and Security
Quantum Physics
Noisy channels are a foundational resource for constructing cryptographic primitives such as string commitment and oblivious transfer. The noisy channel model has been extended to unfair noisy channels, where adversaries can influence the parameters of a memoryless channel. In this work, we introduce the unstructured noisy channel model as a generalization of the unfair noisy channel model to allow the adversary to manipulate the channel arbitrarily subject to certain entropic constraints. We present a string commitment protocol with established security and derive its achievable commitment rate, demonstrating the feasibility of commitment against this stronger class of adversaries. Furthermore, we show that the entropic constraints in the unstructured noisy channel model can be derived from physical assumptions such as noisy quantum storage. Our work thus connects two distinct approaches to commitment, i.e., the noisy channel and physical limitations.
title String commitment from unstructured noise
topic Information Theory
Cryptography and Security
Quantum Physics
url https://arxiv.org/abs/2501.00281