2018/10/25 by Xueyan Liu, Liu, Xueyan, Zhitao Guan +9
Computer Science · #Blockchain Technology Applications and Security #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
paper · pdf · doi:10.48550/arxiv.1811.06917
openalex publication_date 2018/10/25 · openalex created_date 2020/07/16 · openalex updated_date 2026/07/28
Nowadays, a large amount of user privacy-sensitive data is outsourced to the\ncloud server in ciphertext, which is provided by the data owners and can be\naccessed by authorized data users. When accessing data, the user should be\nassigned with the access permission according to his identities or attributes.\nIn addition, the search capabilities in encrypted outsourced data is expected\nto be enhanced, i.e., the search results can better pre-sent user's intentions.\nTo address the above issues, ESAS, an Efficient Semantic and Authorized Search\nscheme over encrypt-ed outsourced data, is proposed. In ESAS, by integrating\nPRSCG (the privacy-preserving ranked search based on con-ceptual graph) and\nCP-ABE (ciphertext policy attribute-based encryption), semantic search with\nfile-level fine-grained access authorization can be realized. In addition,\nsearch authorization can be done in an offline manner, which can improve search\nefficiency and reduce the response time. The security analysis indicate that\nthe proposed ESAS meets security requirement.\n