{"title":"在EGEE网格上建立加密文件系统:在蛋白质序列分析中的应用","authors":"Christophe Blanchet, Rémi Mollon, G. Deléage","doi":"10.1109/ARES.2006.39","DOIUrl":null,"url":null,"abstract":"Bioinformatics needs high-throughput computing and huge data storage to understand datasets such as ones produced by complete genome projects. But these data are linked to patients, and used in scientific or industrial processes such as drug design and gene function identification. These use cases need to have a certain level of confidentiality and integrity to preserve the patient privacy or the patent secret. Obviously important in a local computing context such as supercomputer or cluster, these requirements are exarcebated in the context of a grid such EGEE, where the computing and storage resources are distributed across a worldwide platform. We have developed the EncFile encrypted files management system, deployed on the production platform of the EGEE project, and associated to encrypted representative biological resources. Thus we provided grid users with a user-friendly component that doesn't require any user privileges. Moreover, our EncFile system can be also deployed on other distributed systems as it is not linked to the EGEE grid components.","PeriodicalId":106780,"journal":{"name":"First International Conference on Availability, Reliability and Security (ARES'06)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Building an encrypted file system on the EGEE grid: application to protein sequence analysis\",\"authors\":\"Christophe Blanchet, Rémi Mollon, G. Deléage\",\"doi\":\"10.1109/ARES.2006.39\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bioinformatics needs high-throughput computing and huge data storage to understand datasets such as ones produced by complete genome projects. But these data are linked to patients, and used in scientific or industrial processes such as drug design and gene function identification. These use cases need to have a certain level of confidentiality and integrity to preserve the patient privacy or the patent secret. Obviously important in a local computing context such as supercomputer or cluster, these requirements are exarcebated in the context of a grid such EGEE, where the computing and storage resources are distributed across a worldwide platform. We have developed the EncFile encrypted files management system, deployed on the production platform of the EGEE project, and associated to encrypted representative biological resources. Thus we provided grid users with a user-friendly component that doesn't require any user privileges. Moreover, our EncFile system can be also deployed on other distributed systems as it is not linked to the EGEE grid components.\",\"PeriodicalId\":106780,\"journal\":{\"name\":\"First International Conference on Availability, Reliability and Security (ARES'06)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Conference on Availability, Reliability and Security (ARES'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARES.2006.39\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Conference on Availability, Reliability and Security (ARES'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARES.2006.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Building an encrypted file system on the EGEE grid: application to protein sequence analysis
Bioinformatics needs high-throughput computing and huge data storage to understand datasets such as ones produced by complete genome projects. But these data are linked to patients, and used in scientific or industrial processes such as drug design and gene function identification. These use cases need to have a certain level of confidentiality and integrity to preserve the patient privacy or the patent secret. Obviously important in a local computing context such as supercomputer or cluster, these requirements are exarcebated in the context of a grid such EGEE, where the computing and storage resources are distributed across a worldwide platform. We have developed the EncFile encrypted files management system, deployed on the production platform of the EGEE project, and associated to encrypted representative biological resources. Thus we provided grid users with a user-friendly component that doesn't require any user privileges. Moreover, our EncFile system can be also deployed on other distributed systems as it is not linked to the EGEE grid components.