Security Risk Assessment Model of Blockchain

QIN Chao-xia; GUO Bing; SHEN Yan; SU Hong; ZHANG Zhen; ZHOU Chi-min

doi:10.12263/DZXB.20180962

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Security Risk Assessment Model of Blockchain

更新时间：2025-12-08

- Security Risk Assessment Model of Blockchain
- Acta Electronica Sinica Vol. 49, Issue 1, Pages: 117-124(2021)
- 作者机构：
  
  1. 四川大学计算机学院,四川,成都,610065
  2. 成都信息工程大学控制工程学院,四川,成都,610225
  3. 四川大学计算机学院,四川,成都,610065
  4. 成都信息工程大学控制工程学院,四川,成都,610225
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61772352);Program of Sichuan Science and Technology Program (No.2019YFG0400, No.2018GZDZX0031, No.2018GZDZX0004)
- DOI：10.12263/DZXB.20180962
  CLC： TP309.2
- Published Online：25 January 2021，
  
  Published：2021
- 稿件说明：
移动端阅览
QIN Chao-xia, GUO Bing, SHEN Yan, et al. Security Risk Assessment Model of Blockchain[J]. Acta Electronica Sinica, 2021, 49(1): 117-124.
DOI：

QIN Chao-xia, GUO Bing, SHEN Yan, et al. Security Risk Assessment Model of Blockchain[J]. Acta Electronica Sinica, 2021, 49(1): 117-124. DOI： 10.12263/DZXB.20180962.

摘要

随着区块链技术在社会经济领域的应用不断扩大，区块链的安全问题受到越来越多的关注.本文提出了一种新的区块链安全风险评估方法，分别从技术架构和算力两方面量化区块链的安全风险.我们首先根据区块链技术体系架构建立了区块链可信计算基（Blockchain Trusted Computing Base，BTCB），进而设计了一种结合层次分析（Analytic Hierarchy Process，AHP）和配对比较的安全敏感性分析方法，为每个安全风险影响因素分配权重，最终构造了一个区块链的安全风险评估模型.在实验部分，我们采用该模型为当下15个常见公有链区块链项目打分，并与市场认可度较高的四家区块链评级机构的评测数据进行对比分析，实验结果表明我们的模型具有一定的可行性.

Abstract

With the expansion of the application of blockchain technology in the socio-economic fields

increasing attention has been paid to the security of blockchain. This paper proposes a security risk assessment method for blockchain

which quantifies the security risk of blockchain from the aspects of technical architecture and hash rate. At first

we build the Blockchain Trusted Computing Base (BTCB) model based on the technology architecture. Then

we design a sensitivity analysis method combined the AHP and paired comparison to assign security weights to each security risk factor. Finally

we construct a security risk assessment model. In the experimental part

we use this model to score 15 common public-chain blockchain projects

and conducte comparative analysis with the evaluation data of four blockchain rating agencies with high market recognition. The experiment results verify the feasibility of this method.

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