{"title":"安全云存储与基于关键字的快速检索系统","authors":"Song Lu, Abdulruhman I Ahmed Abomakhelb","doi":"10.1109/CIIS.2017.67","DOIUrl":null,"url":null,"abstract":"In recent years, Cloud Computing becomes more prevalent in data store domain. More and more sensitive to store information into the cloud, Due to the importance the protection of data privacy, to protect sensitive data, should be encrypted before outsourcing, which makes ineffective data utilization and a very challenging task. Although the protection of the privacy of the data has to be encrypted, There should be schemes allow a user to securely search over encrypted data through keywords and selectively retrieve the appropriate files interest. These techniques support only exact searchable over encryption. In this paper, find a solution to the problem of effective keyword search over encrypted cloud data while maintaining keyword privacy. Keyword search greatly enhances system usability by returning the matching files when users' searching inputs exactly match the predefined keywords. In our solution, we extract the keywords from the file and encrypted the keywords then added into the index. Instead of storing file and searchable index on a cloud system, the proposed system will store the file on cloud and store searchable index on a private server. Which greatly reduces network congestion and representation overheads, also retrieval fast for files, and reduces the storage by file compression With enhanced security using encryption techniques and permission to access the data, through accurate security analysis, we show that our proposed solution is secure and privacy-preserving, while correctly realizing the goal of retrieval data.","PeriodicalId":254342,"journal":{"name":"2017 International Conference on Computing Intelligence and Information System (CIIS)","volume":"6 13","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Secure Cloud Storage and Quick Keyword Based Retrieval System\",\"authors\":\"Song Lu, Abdulruhman I Ahmed Abomakhelb\",\"doi\":\"10.1109/CIIS.2017.67\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, Cloud Computing becomes more prevalent in data store domain. More and more sensitive to store information into the cloud, Due to the importance the protection of data privacy, to protect sensitive data, should be encrypted before outsourcing, which makes ineffective data utilization and a very challenging task. Although the protection of the privacy of the data has to be encrypted, There should be schemes allow a user to securely search over encrypted data through keywords and selectively retrieve the appropriate files interest. These techniques support only exact searchable over encryption. In this paper, find a solution to the problem of effective keyword search over encrypted cloud data while maintaining keyword privacy. Keyword search greatly enhances system usability by returning the matching files when users' searching inputs exactly match the predefined keywords. In our solution, we extract the keywords from the file and encrypted the keywords then added into the index. Instead of storing file and searchable index on a cloud system, the proposed system will store the file on cloud and store searchable index on a private server. Which greatly reduces network congestion and representation overheads, also retrieval fast for files, and reduces the storage by file compression With enhanced security using encryption techniques and permission to access the data, through accurate security analysis, we show that our proposed solution is secure and privacy-preserving, while correctly realizing the goal of retrieval data.\",\"PeriodicalId\":254342,\"journal\":{\"name\":\"2017 International Conference on Computing Intelligence and Information System (CIIS)\",\"volume\":\"6 13\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computing Intelligence and Information System (CIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIIS.2017.67\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computing Intelligence and Information System (CIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIIS.2017.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Secure Cloud Storage and Quick Keyword Based Retrieval System
In recent years, Cloud Computing becomes more prevalent in data store domain. More and more sensitive to store information into the cloud, Due to the importance the protection of data privacy, to protect sensitive data, should be encrypted before outsourcing, which makes ineffective data utilization and a very challenging task. Although the protection of the privacy of the data has to be encrypted, There should be schemes allow a user to securely search over encrypted data through keywords and selectively retrieve the appropriate files interest. These techniques support only exact searchable over encryption. In this paper, find a solution to the problem of effective keyword search over encrypted cloud data while maintaining keyword privacy. Keyword search greatly enhances system usability by returning the matching files when users' searching inputs exactly match the predefined keywords. In our solution, we extract the keywords from the file and encrypted the keywords then added into the index. Instead of storing file and searchable index on a cloud system, the proposed system will store the file on cloud and store searchable index on a private server. Which greatly reduces network congestion and representation overheads, also retrieval fast for files, and reduces the storage by file compression With enhanced security using encryption techniques and permission to access the data, through accurate security analysis, we show that our proposed solution is secure and privacy-preserving, while correctly realizing the goal of retrieval data.