{"title":"Efficient and secure server migration on cloud storage with VSM and dropbox services","authors":"J. A. Mayan, D. Anand, Neha Sadhvi","doi":"10.1109/ICICES.2017.8070725","DOIUrl":null,"url":null,"abstract":"The huge amount of sensitive data store in centralize storage space in cloud server, which is most important for providing the result based on the user's provided keywords. These service providing high efficiency with keeping user privacy. Without any configure the existing system learn plain text information. CSP (Cloud Service Provider) have outsourced data control in this condition because of some issue. There may survive unconstitutional operation on outsourced information on relation of profit or curiosity. Hence, privacy data has to encrypt for security. In existing search method over encrypted data in cloud support KNN search keyword not multi-keyword rank search based on semantics approach. The search methods aren't intelligent also neglect a few semantically associated documents. In vision of attempt, deficiency an efficient method is suggested to solve multi rank search keyword issue over encrypted information similar search clarification sustaining synonym queries over encrypted information in cloud. To overcome these problems we proposed DMRS search and VSM (Vector Space Model) algorithm. These two algorithms give top ranking search consequence and Security in the cloud storage system.","PeriodicalId":134931,"journal":{"name":"2017 International Conference on Information Communication and Embedded Systems (ICICES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Information Communication and Embedded Systems (ICICES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICES.2017.8070725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
The huge amount of sensitive data store in centralize storage space in cloud server, which is most important for providing the result based on the user's provided keywords. These service providing high efficiency with keeping user privacy. Without any configure the existing system learn plain text information. CSP (Cloud Service Provider) have outsourced data control in this condition because of some issue. There may survive unconstitutional operation on outsourced information on relation of profit or curiosity. Hence, privacy data has to encrypt for security. In existing search method over encrypted data in cloud support KNN search keyword not multi-keyword rank search based on semantics approach. The search methods aren't intelligent also neglect a few semantically associated documents. In vision of attempt, deficiency an efficient method is suggested to solve multi rank search keyword issue over encrypted information similar search clarification sustaining synonym queries over encrypted information in cloud. To overcome these problems we proposed DMRS search and VSM (Vector Space Model) algorithm. These two algorithms give top ranking search consequence and Security in the cloud storage system.
海量敏感数据集中存储在云服务器的集中存储空间中,这对于根据用户提供的关键字提供结果至关重要。这些服务在保护用户隐私的同时提供高效率。无需任何配置即可学习现有系统的明文信息。由于一些问题,CSP(云服务提供商)在这种情况下将数据控制外包。出于利益关系或好奇心,外包信息可能存在违宪运作。因此,必须对隐私数据进行加密以确保安全性。在现有的云加密数据搜索方法中,支持KNN搜索关键字,而不是基于语义的多关键字排名搜索。搜索方法并不智能,还忽略了一些语义相关的文档。在尝试的基础上,提出了一种有效的方法来解决加密信息的多级搜索关键字问题,类似搜索澄清支持云中加密信息的同义词查询。为了克服这些问题,我们提出了DMRS搜索和VSM (Vector Space Model)算法。这两种算法在云存储系统中提供了高排名的搜索结果和安全性。