Starfish: Rebalancing Multi-Party Off-Chain Payment Channels
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arXiv
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| Autores principales: | , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866910921739206656 |
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| author | Xu, Minghui Yu, Wenxuan Shang, Guangyong Qi, Guangpeng Duan, Dongliang Wang, Shan Li, Kun Zhang, Yue Cheng, Xiuzhen |
| author_facet | Xu, Minghui Yu, Wenxuan Shang, Guangyong Qi, Guangpeng Duan, Dongliang Wang, Shan Li, Kun Zhang, Yue Cheng, Xiuzhen |
| contents | Blockchain technology has revolutionized the way transactions are executed, but scalability remains a major challenge. Payment Channel Network (PCN), as a Layer-2 scaling solution, has been proposed to address this issue. However, skewed payments can deplete the balance of one party within a channel, restricting the ability of PCNs to transact through a path and subsequently reducing the transaction success rate. To address this issue, the technology of rebalancing has been proposed. However, existing rebalancing strategies in PCNs are limited in their capacity and efficiency. Cycle-based approaches only address rebalancing within groups of nodes that form a cycle network, while non-cycle-based approaches face high complexity of on-chain operations and limitations on rebalancing capacity. In this study, we propose Starfish, a rebalancing approach that captures the star-shaped network structure to provide high rebalancing efficiency and large channel capacity. Starfish requires only $N$-time on-chain operations to connect independent channels and aggregate the total budget of all channels. To demonstrate the correctness and advantages of our method, we provide a formal security proof of the Starfish protocol and conduct comparative experiments with existing rebalancing techniques. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_20536 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Starfish: Rebalancing Multi-Party Off-Chain Payment Channels Xu, Minghui Yu, Wenxuan Shang, Guangyong Qi, Guangpeng Duan, Dongliang Wang, Shan Li, Kun Zhang, Yue Cheng, Xiuzhen Cryptography and Security Blockchain technology has revolutionized the way transactions are executed, but scalability remains a major challenge. Payment Channel Network (PCN), as a Layer-2 scaling solution, has been proposed to address this issue. However, skewed payments can deplete the balance of one party within a channel, restricting the ability of PCNs to transact through a path and subsequently reducing the transaction success rate. To address this issue, the technology of rebalancing has been proposed. However, existing rebalancing strategies in PCNs are limited in their capacity and efficiency. Cycle-based approaches only address rebalancing within groups of nodes that form a cycle network, while non-cycle-based approaches face high complexity of on-chain operations and limitations on rebalancing capacity. In this study, we propose Starfish, a rebalancing approach that captures the star-shaped network structure to provide high rebalancing efficiency and large channel capacity. Starfish requires only $N$-time on-chain operations to connect independent channels and aggregate the total budget of all channels. To demonstrate the correctness and advantages of our method, we provide a formal security proof of the Starfish protocol and conduct comparative experiments with existing rebalancing techniques. |
| title | Starfish: Rebalancing Multi-Party Off-Chain Payment Channels |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2504.20536 |