ShadowBlock: Efficient Dynamic Anonymous Blocklisting and Its Cross-chain Application

Fuente: arXiv
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Autori principali: Deng, Haotian, Liu, Mengxuan, Zhang, Chuan, Huang, Wei, Wang, Licheng, Zhu, Liehuang
Natura: Preprint
Pubblicazione: 2025
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author Deng, Haotian
Liu, Mengxuan
Zhang, Chuan
Huang, Wei
Wang, Licheng
Zhu, Liehuang
author_facet Deng, Haotian
Liu, Mengxuan
Zhang, Chuan
Huang, Wei
Wang, Licheng
Zhu, Liehuang
contents Online harassment, incitement to violence, racist behavior, and other harmful content on social media can damage social harmony and even break the law. Traditional blocklisting technologies can block malicious users, but this comes at the expense of identity privacy. The anonymous blocklisting has emerged as an effective mechanism to restrict the abuse of freedom of speech while protecting user identity privacy. However, the state-of-the-art anonymous blocklisting schemes suffer from either poor dynamism or low efficiency. In this paper, we propose $\mathsf{ShadowBlock}$, an efficient dynamic anonymous blocklisting scheme. Specifically, we utilize the pseudorandom function and cryptographic accumulator to construct the public blocklisting, enabling users to prove they are not on the blocklisting in an anonymous manner. To improve verification efficiency, we design an aggregation zero-knowledge proof mechanism that converts multiple verification operations into a single one. In addition, we leverage the accumulator's property to achieve efficient updates of the blocklisting, i.e., the original proof can be reused with minimal updates rather than regenerating the entire proof. Experiments show that $\mathsf{ShadowBlock}$ has better dynamics and efficiency than the existing schemes. Finally, the discussion on applications indicates that $\mathsf{ShadowBlock}$ also holds significant value and has broad prospects in emerging fields such as cross-chain identity management.
format Preprint
id arxiv_https___arxiv_org_abs_2512_19124
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle ShadowBlock: Efficient Dynamic Anonymous Blocklisting and Its Cross-chain Application
Deng, Haotian
Liu, Mengxuan
Zhang, Chuan
Huang, Wei
Wang, Licheng
Zhu, Liehuang
Cryptography and Security
Online harassment, incitement to violence, racist behavior, and other harmful content on social media can damage social harmony and even break the law. Traditional blocklisting technologies can block malicious users, but this comes at the expense of identity privacy. The anonymous blocklisting has emerged as an effective mechanism to restrict the abuse of freedom of speech while protecting user identity privacy. However, the state-of-the-art anonymous blocklisting schemes suffer from either poor dynamism or low efficiency. In this paper, we propose $\mathsf{ShadowBlock}$, an efficient dynamic anonymous blocklisting scheme. Specifically, we utilize the pseudorandom function and cryptographic accumulator to construct the public blocklisting, enabling users to prove they are not on the blocklisting in an anonymous manner. To improve verification efficiency, we design an aggregation zero-knowledge proof mechanism that converts multiple verification operations into a single one. In addition, we leverage the accumulator's property to achieve efficient updates of the blocklisting, i.e., the original proof can be reused with minimal updates rather than regenerating the entire proof. Experiments show that $\mathsf{ShadowBlock}$ has better dynamics and efficiency than the existing schemes. Finally, the discussion on applications indicates that $\mathsf{ShadowBlock}$ also holds significant value and has broad prospects in emerging fields such as cross-chain identity management.
title ShadowBlock: Efficient Dynamic Anonymous Blocklisting and Its Cross-chain Application
topic Cryptography and Security
url https://arxiv.org/abs/2512.19124