{"title":"LH*RE:具有可恢复加密的可扩展分布式数据结构","authors":"S. Jajodia, W. Litwin, T. Schwarz","doi":"10.1109/CLOUD.2010.41","DOIUrl":null,"url":null,"abstract":"LH*RE is a new Scalable Distributed Data Structure (SDDS) for hash files stored in a cloud. The client-side symmetric encryption protects the data against the server-side disclosure. The encryption key(s) at the client are backed up in the file. The client may recover/ revoke any keys lost or stolen from its node. A trusted official can also do it on behalf of the client or of an authority, e.g., to imperatively access the data of a client missing or disabled. In contrast, with high assurance, e.g., 99%, the attacker of the cloud should not usually disclose any data, even if the intrusion succeeds over dozens or possibly thousands of servers for a larger file. Storage and primary key-based access performance of LH*RE should be about those of the well-known LH* SDDS. Two messages should typically suffice for a key-based search and four in the worst case, with the application data load factor of 70%, regardless of the file scale up. These features are among most efficient for a hash SDDS. LH*RE should be attractive with respect to the competition.","PeriodicalId":375404,"journal":{"name":"2010 IEEE 3rd International Conference on Cloud Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"LH*RE: A Scalable Distributed Data Structure with Recoverable Encryption\",\"authors\":\"S. Jajodia, W. Litwin, T. Schwarz\",\"doi\":\"10.1109/CLOUD.2010.41\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"LH*RE is a new Scalable Distributed Data Structure (SDDS) for hash files stored in a cloud. The client-side symmetric encryption protects the data against the server-side disclosure. The encryption key(s) at the client are backed up in the file. The client may recover/ revoke any keys lost or stolen from its node. A trusted official can also do it on behalf of the client or of an authority, e.g., to imperatively access the data of a client missing or disabled. In contrast, with high assurance, e.g., 99%, the attacker of the cloud should not usually disclose any data, even if the intrusion succeeds over dozens or possibly thousands of servers for a larger file. Storage and primary key-based access performance of LH*RE should be about those of the well-known LH* SDDS. Two messages should typically suffice for a key-based search and four in the worst case, with the application data load factor of 70%, regardless of the file scale up. These features are among most efficient for a hash SDDS. LH*RE should be attractive with respect to the competition.\",\"PeriodicalId\":375404,\"journal\":{\"name\":\"2010 IEEE 3rd International Conference on Cloud Computing\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 3rd International Conference on Cloud Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLOUD.2010.41\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 3rd International Conference on Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLOUD.2010.41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LH*RE: A Scalable Distributed Data Structure with Recoverable Encryption
LH*RE is a new Scalable Distributed Data Structure (SDDS) for hash files stored in a cloud. The client-side symmetric encryption protects the data against the server-side disclosure. The encryption key(s) at the client are backed up in the file. The client may recover/ revoke any keys lost or stolen from its node. A trusted official can also do it on behalf of the client or of an authority, e.g., to imperatively access the data of a client missing or disabled. In contrast, with high assurance, e.g., 99%, the attacker of the cloud should not usually disclose any data, even if the intrusion succeeds over dozens or possibly thousands of servers for a larger file. Storage and primary key-based access performance of LH*RE should be about those of the well-known LH* SDDS. Two messages should typically suffice for a key-based search and four in the worst case, with the application data load factor of 70%, regardless of the file scale up. These features are among most efficient for a hash SDDS. LH*RE should be attractive with respect to the competition.