Speedster: An Efficient Multi-party State Channel via Enclaves

Liao，Jinghui1; Zhang，Fengwei2; Sun，Wenhai3; Shi，Weisong4

10.1145/3488932.3523259

2022-05-30

17th ACM ASIA Conference on Computer and Communications Security 2022 (ACM ASIACCS)

ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security

637-651

MAY 30-JUN 03, 2022

null,Nagasaki,JAPAN

1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES

ASSOC COMPUTING MACHINERY

State channel network is the most popular layer-2 solution to the issues of scalability, high transaction fees, and low transaction throughput of public Blockchain networks. However, the existing works have limitations that curb the wide adoption of the technology, such as the expensive creation and closure of channels, strict synchronization between the main chain and off-chain channels, frozen deposits, and inability to execute multi-party smart contracts. In this work, we present Speedster, an account-based state-channel system that aims to address the above issues. To this end, Speedster leverages the latest development of secure hardware to create dispute-free certified channels that can be operated efficiently off the Blockchain. Speedster is peer-to-peer decentralized and provides better privacy protection than prior channel projects. It supports fast native multi-party contract execution, which is previously unavailable in TEE-enabled channel networks. Compared to the Lightning Network, Speedster improves the throughput by about 10,000X and generates 97%$ less on-chain data with a comparable network scale.

layer-2 multi-party state channel off-chain smart contracts scalability

第一 ; 通讯

英语

EI ; CPCI-S

National Natural Science Foundation of China[62002151];

Computer Science ; Mathematics ; Telecommunications

Computer Science, Information Systems ; Computer Science, Theory & Methods ; Mathematics, Applied ; Telecommunications

WOS:000937026200048

20222712310561

Blockchain ; Scalability

Database Systems:723.3 ; Legal Aspects:902.3 ; Systems Science:961

2-s2.0-85133206251

Scopus

1.SUSTech,Wayne State University,Neo Foundation,Shenzhen,China
2.Department of CSE and RITAS,SUSTech,Shenzhen,China
3.Department of Computer and Information Technology,Purdue University,West Lafayette,United States
4.Department of Computer Science,Wayne State University,Detroit,United States

Liao，Jinghui,Zhang，Fengwei,Sun，Wenhai,et al. Speedster: An Efficient Multi-party State Channel via Enclaves[C]. 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES:ASSOC COMPUTING MACHINERY,2022:637-651.