一种基于多链协同的联盟链改进模型

赵鲜鲜; 谭海波; 赵赫; 周桐; 程昊天; 李金泽

doi:10.13700/j.bh.1001-5965.2022.0814

一种基于多链协同的联盟链改进模型

doi: 10.13700/j.bh.1001-5965.2022.0814

赵鲜鲜^{1, 2},
谭海波^{1, 2},
赵赫^1, ,,
周桐³,
程昊天^{1, 2},
李金泽^{1, 2}

1.
中国科学院合肥物质科学研究院，合肥 230031
2.
中国科学技术大学，合肥 230026
3.
安徽中科晶格技术有限公司，合肥 230088

基金项目: 国家重点研发计划(2021YFB2700800)

详细信息

通讯作者:
E-mail：zhaoh@hfcas.ac.cn

中图分类号: TP315
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- 被引次数: 0
出版历程
- 收稿日期: 2022-09-29
- 录用日期: 2022-11-25
- 网络出版日期: 2023-03-09
- 整期出版日期: 2024-10-31

A consortium chain improvement model based on multi-chain collaboration

ZHAO Xianxian^{1, 2},
TAN Haibo^{1, 2},
ZHAO He^{1
, ,},
ZHOU Tong³,
CHENG Haotian^{1, 2},
LI Jinze^{1, 2}

1.
Hefei Institutes of Physical Science，Chinese Academy of Sciences，Hefei 230031，China
2.
University of Science & Technology of China，Hefei 230026，China
3.
Anhui ZhongKeJingGe Technology Co.，Ltd.，Hefei 230088，China

Funds: National Key Research and Development Program of China (2021YFB2700800)

More Information

Corresponding author: E-mail：zhaoh@hfcas.ac.cn

摘要

摘要:
监管友好、性能优异的联盟链是我国政务和商用区块链的首选。然而联盟链通常因为有效节点少、节点独立性低和发展能力弱的原因，降低系统的可靠性。因此提出了同盟链：一种通过协同多个联盟链来提升系统可靠性的模型。同盟链通过联盟链间相互层叠存储链上数据降低联盟链历史数据被篡改的可能性，通过协同存储区块链加密数据保障账本数据恢复能力；使用聚合签名、数据完整性验证等方法解决数据传输完整性、来源真实性问题；设计双向数据存在性验证方法检验传输数据的连续性，确保协同数据相互背书的真实性；通过与现有方案进行通信、存储和计算消耗上的对比来验证本方案的有效性。
- 区块链 /
- 联盟链 /
- 可靠性 /
- 去中心化 /
- 数据完整性 /
- 数据真实性
Abstract:
In recent years, blockchain technology has been developing rapidly, and It plays a critical role in fintech, supply chain, medical health, data security and other fields. Due to friendly supervision and excellent performance, the consortium chain has become China's first choice for government and commercial blockchain. However, it is usually faced with problems such as the small number of effective nodes, low node independence, and weak sustainable development ability, which reduces the system’s reliability. We suggest the alliance model, a blockchain approach that coordinates several consortium chains to increase system stability, in light of the aforementioned issues. The model stores data by overlapping each other between chains to reduce the possibility of data tampering and ensure data recovery. In addition, we use the methods of aggregated signature and data integrity verification to solve the problems of transmission data integrity and source authenticity. In order to verify the legitimacy of reciprocal endorsement of collaborative data and to check the continuation of the sent data, we also develop an existence verification method. To confirm its efficacy, this scheme's communication, storage, and computational usage are compared to those of the current techniques.
- blockchain /
- consortium chain /
- reliability /
- decentralization /
- data integrity /
- data authenticity

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图 1 同盟链系统框架

Figure 1. System framework of alliance chain

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图 2 链间数据存储层叠示意

Figure 2. Schematic of data storage overlapping between blockchains

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图 3 ACP结构

Figure 3. Structure of ACP

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图 4 EC构造和验证过程

Figure 4. Process of EC construction and verification

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图 5 同步流程

Figure 5. Synchronization process

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图 6 MemAdd类型消息验证流程

Figure 6. Validation flowchart for MemAdd type message

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图 7 数据篡改成功概率

Figure 7. Probability of successful data tampering

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图 8 使用本方案的数据篡改成功概率

Figure 8. Probability of successful data tampering with our scheme

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图 9 区块链一个轮次的存储总量

Figure 9. The total storage capacity of the blockchain in single interval

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图 10 一个轮次内增加的通信消耗

Figure 10. Increased communication consumption in single interval

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表 1 AIC关键配置项

Table 1. Key configuration items of AIC

配置项	作用
Ecert	现任信使节点当选证明
AEnvInfo	其他联盟链信使节点证书列表和路由信息
AConfigList	其他联盟链配置信息
EDataQuene	收发双方待确认、已确认数据次数映射列表
ECerList	记录每个成员近期传输证明映射列表
BlackNode	记录禁止通信的信使节点名单
BlackChain	记录作恶联盟链唯一标识列表
Miniconfig	所有联盟链确认加入同盟链模型的最低配置

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表 2 不同区块链类型对比

Table 2. Comparison of different blockchain types

对比维度	公有链	私有链	联盟链	同盟链
准入机制	无	有	有	有
去中心化程度	高	低	中	较高
交易速度	低	高	高	高
监管难易	难	易	易	易

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表 3 不同方案可靠性指标对比

Table 3. Comparison of reliability indicators of different schemes

方案	账本篡改难度	有效节点数量增幅	节点独立程度	账本恢复能力	适用范围	交易体验影响程度
方案1	中	中	低	无	广	中
方案2	高	高	高	无	较广	小
方案3	高	高	高	有	窄	大
本方案	高	高	高	有	广	小

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表 4 单节点存储量增幅

Table 4. Increment of single node storage %

有效节点个数	方案3	本方案
6	0	0
12	53.4136	0.0024
18	112.1372	0.0048
36	275.9851	0.1205
60	495.2543	0.2169

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表 5 计算开销额外总耗时

Table 5. Additional total elapsed time spent on computing overhead s

有效节点个数	方案1额外总耗时	方案3额外总耗时	本方案额外总耗时
6	0	0	0
12	117.5411	0.2466	1.5316
18	209.2531	0.2544	1.5660
36	486.2300	0.2778	2.8357
60	855.9127	0.3090	3.8571

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