摘要
为解决基于属性加密的任务匹配隐私保护方案中单一权威机构性能瓶颈和恶意用户密钥滥用问题,提出一个防止密钥滥用的多属性权威机构任务匹配隐私保护方案。通过引入多个属性授权机构解决权威机构性能瓶颈问题,采用计数布隆过滤器和多棵默克尔帕特丽夏树构造一个新型动态数据结构来避免密钥滥用。实验结果表明,该方案与现有追踪密钥滥用者的方案相比,可以防止密钥滥用的情况发生,具有更低的时间开销。
To solve the performance bottleneck of single authority and the key abuse problem of malicious users in the task matching privacy protection scheme based on attribute encryption,a multi-attribute authority task matching privacy protection scheme was proposed to prevent key abuse.By introducing multiple attribute authorization mechanisms to solve the performance bottleneck problem of authority mechanisms,a dynamic data structure was constructed by using counting Bloom filter and multiple Merkle Patricia trees to avoid key abuse.Experimental results show that the proposed scheme can prevent key abuse with lower time cost compared with existing schemes for tracking key abusers.
作者
张楚雯
常远
史闻博
郝旭龙
董国芳
ZHANG Chu-wen;CHANG Yuan;SHI Wen-bo;HAO Xu-long;DONG Guo-fang(School of Electrical Information Engineering,Yunnan Minzu University,Kunming 650500,China;School of Computer Science and Engineering,Northeastern University,Shenyang 110167,China;School of Computer and Communication Engineering,Northeastern University at Qinhuangdao,Qinhuangdao 066004,China)
出处
《计算机工程与设计》
北大核心
2023年第9期2577-2585,共9页
Computer Engineering and Design
基金
国家自然科学基金项目(61662089)。
关键词
任务匹配
属性加密
密钥滥用
多授权属性
布隆过滤器
默克尔帕特丽夏树
隐私保护
访问策略
task matching
attribute encryption
key abuse
multi-authorization attribute
Bloom filter
Merkel Patricia tree
privacy protection
access policy
