MKRS:安全的多云下属性基多关键词排名密文检索方案OA

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.