{"title":"公钥加密与排名多关键字搜索","authors":"Chengyu Hu, Pengtao Liu","doi":"10.1109/INCoS.2013.24","DOIUrl":null,"url":null,"abstract":"It is necessary for the cloud server to allow multi-keyword query and provide result ranking to effectively retrieve data from the large number of encrypted data stored in the cloud storage. A related work that support privacy preserving ranked multi-keyword search over encrypted cloud data (MRSE) is not in public-key model. In this paper, the definition of an extension of PEKS called Public-Key Encryption with Ranked Multi-Keyword Search(PERMKS) is proposed, which means that the receiver could query any subset of keywords and the number of queried keywords appearing in the data can be provided which evaluate the similarity ranking of the data to the search query. Then, a construction of public-key encryption with ranked multikeyword search scheme with sub-linear cipher texts based on anonymous hierarchical identity-based encryption (AHIBE) is put forward and its security is analyzed.","PeriodicalId":353706,"journal":{"name":"2013 5th International Conference on Intelligent Networking and Collaborative Systems","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Public Key Encryption with Ranked Multi-keyword Search\",\"authors\":\"Chengyu Hu, Pengtao Liu\",\"doi\":\"10.1109/INCoS.2013.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is necessary for the cloud server to allow multi-keyword query and provide result ranking to effectively retrieve data from the large number of encrypted data stored in the cloud storage. A related work that support privacy preserving ranked multi-keyword search over encrypted cloud data (MRSE) is not in public-key model. In this paper, the definition of an extension of PEKS called Public-Key Encryption with Ranked Multi-Keyword Search(PERMKS) is proposed, which means that the receiver could query any subset of keywords and the number of queried keywords appearing in the data can be provided which evaluate the similarity ranking of the data to the search query. Then, a construction of public-key encryption with ranked multikeyword search scheme with sub-linear cipher texts based on anonymous hierarchical identity-based encryption (AHIBE) is put forward and its security is analyzed.\",\"PeriodicalId\":353706,\"journal\":{\"name\":\"2013 5th International Conference on Intelligent Networking and Collaborative Systems\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 5th International Conference on Intelligent Networking and Collaborative Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INCoS.2013.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCoS.2013.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
摘要
为了从存储在云存储中的大量加密数据中有效检索数据,云服务器必须支持多关键字查询并提供结果排序。一项支持在加密云数据(MRSE)上保持隐私的排序多关键字搜索的相关工作没有采用公钥模型。本文提出了PEKS的一种扩展,即PERMKS (Public-Key Encryption with ranking Multi-Keyword Search),即接收方可以查询任意关键字子集,并提供数据中出现的被查询关键字的个数,以评估数据与搜索查询的相似度排序。然后,提出了一种基于匿名分层身份加密(AHIBE)的亚线性密文分级多关键字搜索方案的公钥加密构造,并对其安全性进行了分析。
Public Key Encryption with Ranked Multi-keyword Search
It is necessary for the cloud server to allow multi-keyword query and provide result ranking to effectively retrieve data from the large number of encrypted data stored in the cloud storage. A related work that support privacy preserving ranked multi-keyword search over encrypted cloud data (MRSE) is not in public-key model. In this paper, the definition of an extension of PEKS called Public-Key Encryption with Ranked Multi-Keyword Search(PERMKS) is proposed, which means that the receiver could query any subset of keywords and the number of queried keywords appearing in the data can be provided which evaluate the similarity ranking of the data to the search query. Then, a construction of public-key encryption with ranked multikeyword search scheme with sub-linear cipher texts based on anonymous hierarchical identity-based encryption (AHIBE) is put forward and its security is analyzed.