杭州师范大学学报（自然科学版）2025，Vol.24Issue(4)：365-374,10.DOI:10.19926/j.cnki.issn.1674-232X.2024.04.233
MKRS:安全的多云下属性基多关键词排名密文检索方案
MKRS:A Secure Multi-cloud Attribute-based Multi-keyword Ranked Search over Encrypted Data Scheme
摘要
Abstract
To address the limitations of existing searchable encryption schemes,such as the ignorance of keyword weights across documents leading to low-ranking accuracy and fuzzy keyword search,this paper proposed a multi-keyword ranking ciphertext retrieval scheme(MKRS)based on ciphertext-policy attribute-based encryption for multi-cloud server environments.MKRS integrated the vector space model and term frequency-inverse document frequency(TF-IDF)technology to construct a balanced binary tree,enabling efficient ranked document retrieval.This allowed data recipients to conduct more accurate searches based on keywords.Security and efficiency analysis demonstrated that MKRS achieved resistance against chosen-plaintext attacks while reducing computational overhead.关键词
属性基加密/多关键词排序/平衡二叉树/多云服务器Key words
attribute-based encryption/multi-keyword ranking/balanced binary tree/multi-cloud server分类
信息技术与安全科学引用本文复制引用
胡家民,沈忠华,刘勇,刘玉莹,孟倩..MKRS:安全的多云下属性基多关键词排名密文检索方案[J].杭州师范大学学报（自然科学版）,2025,24(4):365-374,10.基金项目
国家自然科学基金项目(62302136,62402154,61972124) （62302136,62402154,61972124）
浙江省自然科学基金项目(LQ22F010001) （LQ22F010001）
杭州师范大学科研启动基金项目(4115C50221104137,4085C5220204093). （4115C50221104137,4085C5220204093）
