{"title":"多层安全连续查询的高效处理","authors":"Xing Xie, I. Ray, R. Adaikkalavan","doi":"10.1109/SocialCom.2013.65","DOIUrl":null,"url":null,"abstract":"Data Stream Management Systems (DSMSs) address the data processing needs of situational monitoring applications, where data must be collected on-the-fly and processed in real-time. Sensitive data in situational monitoring applications must be processed such that there is no leakage of confidential information. Towards this end, we design a DSMS that allows continuous queries to be executed on multilevel secure (MLS) data in an efficient and secure manner. We provide a prototype to demonstrate the feasibility of our ideas and present some experimental results that discuss the overhead and performance gain of our approach.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On the Efficient Processing of Multilevel Secure Continuous Queries\",\"authors\":\"Xing Xie, I. Ray, R. Adaikkalavan\",\"doi\":\"10.1109/SocialCom.2013.65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data Stream Management Systems (DSMSs) address the data processing needs of situational monitoring applications, where data must be collected on-the-fly and processed in real-time. Sensitive data in situational monitoring applications must be processed such that there is no leakage of confidential information. Towards this end, we design a DSMS that allows continuous queries to be executed on multilevel secure (MLS) data in an efficient and secure manner. We provide a prototype to demonstrate the feasibility of our ideas and present some experimental results that discuss the overhead and performance gain of our approach.\",\"PeriodicalId\":129308,\"journal\":{\"name\":\"2013 International Conference on Social Computing\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Social Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SocialCom.2013.65\",\"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 International Conference on Social Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SocialCom.2013.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the Efficient Processing of Multilevel Secure Continuous Queries
Data Stream Management Systems (DSMSs) address the data processing needs of situational monitoring applications, where data must be collected on-the-fly and processed in real-time. Sensitive data in situational monitoring applications must be processed such that there is no leakage of confidential information. Towards this end, we design a DSMS that allows continuous queries to be executed on multilevel secure (MLS) data in an efficient and secure manner. We provide a prototype to demonstrate the feasibility of our ideas and present some experimental results that discuss the overhead and performance gain of our approach.