无线电工程2025，Vol.55Issue(6)：1318-1326,9.DOI:10.3969/j.issn.1003-3106.2025.06.020
面向区块链的ABAC访问策略索引优化方案
An ABAC Access Policy Indexing Optimization Scheme for Blockchain Systems
摘要
Abstract
Attribute-Based Access Control(ABAC)models play a significant role in modern information systems.However,as system complexity increases,the efficiency of access policy matching has become a critical performance optimization challenge.Existing approaches,such as index tables and full-scan loading,suffer from limitations in distributed environments like blockchains,including poor flexibility,high resource consumption,and low efficiency.To address these issues,an optimized access policy indexing scheme based on decision tree algorithms is proposed.By utilizing the policy target elements in ABAC models as input features for decision trees,the efficient policy classifier is constructed.Furthermore,an incremental update algorithm is introduced to handle dynamic policy changes,reducing computational overhead while maintaining the correctness of the index tree.The research results demonstrate that this approach can meet the requirements of large-scale access control systems and provides a novel solution and technical reference for the access control performance optimization in distributed environments.关键词
属性基访问控制/访问策略匹配/访问策略索引优化/决策树/增量更新算法Key words
ABAC/access policy matching/optimized access policy indexing/decision tree/incremental update algorithm分类
计算机与自动化引用本文复制引用
董西国,徐自衡,朱岩..面向区块链的ABAC访问策略索引优化方案[J].无线电工程,2025,55(6):1318-1326,9.基金项目
北京市自然科学基金(M23017) Beijing Municipal Natural Science Foundation of China(M23017) （M23017）
