{"title":"Traceable and Revocable Attribute-Based Conjunctive Keyword Search","authors":"Jinguo Li;Chunlin Li;Kai Zhang;Yin He","doi":"10.1109/TETC.2026.3658629","DOIUrl":null,"url":null,"abstract":"The Attribute-Based Keyword Search (ABKS) scheme provides a secure, efficient, and expressive method for data outsourcing to the cloud, offering fine-grained access control to prevent unauthorized data usage. However, existing ABKS schemes primarily cater to the single-owner model and lack effective mechanisms to trace or revoke access from malicious users who leak decryption keys. In this paper, we introduce TR-ABCKS, a traceable and revocable attribute-based conjunctive keyword search scheme. Designed for the multi-to-multi model, TR-ABCKS supports conjunctive keyword search and features an efficient revocation mechanism utilizing binary trees with multilinear maps to revoke access permissions from malicious users. Additionally, TR-ABCKS achieves white-box traceability, preventing malicious users from leaking decryption keys for economic gain. Our comprehensive security analysis confirms TR-ABCKS’s semantic security, validated by experimental simulations, showcasing its effectiveness.","PeriodicalId":13156,"journal":{"name":"IEEE Transactions on Emerging Topics in Computing","volume":"14 1","pages":"240-253"},"PeriodicalIF":4.8000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Emerging Topics in Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11371594/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/3 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The Attribute-Based Keyword Search (ABKS) scheme provides a secure, efficient, and expressive method for data outsourcing to the cloud, offering fine-grained access control to prevent unauthorized data usage. However, existing ABKS schemes primarily cater to the single-owner model and lack effective mechanisms to trace or revoke access from malicious users who leak decryption keys. In this paper, we introduce TR-ABCKS, a traceable and revocable attribute-based conjunctive keyword search scheme. Designed for the multi-to-multi model, TR-ABCKS supports conjunctive keyword search and features an efficient revocation mechanism utilizing binary trees with multilinear maps to revoke access permissions from malicious users. Additionally, TR-ABCKS achieves white-box traceability, preventing malicious users from leaking decryption keys for economic gain. Our comprehensive security analysis confirms TR-ABCKS’s semantic security, validated by experimental simulations, showcasing its effectiveness.
期刊介绍:
IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.