{"title":"构建实用安全的多方数据库","authors":"Y. Tang, Wenqing Zhuang","doi":"10.1109/SecDev.2016.029","DOIUrl":null,"url":null,"abstract":"This work aims at building secure multi-party database systems, for emerging federation networks in healthcare, finance, and other marketplaces. The technical challenges come from the interface gap between existing distributed query processing (DQP) and multi-party computation software. We propose compositional MPC for modular DQP and MPC-aware query optimizations.","PeriodicalId":166406,"journal":{"name":"2016 IEEE Cybersecurity Development (SecDev)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards Building Practical Secure Multi-party Databases\",\"authors\":\"Y. Tang, Wenqing Zhuang\",\"doi\":\"10.1109/SecDev.2016.029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work aims at building secure multi-party database systems, for emerging federation networks in healthcare, finance, and other marketplaces. The technical challenges come from the interface gap between existing distributed query processing (DQP) and multi-party computation software. We propose compositional MPC for modular DQP and MPC-aware query optimizations.\",\"PeriodicalId\":166406,\"journal\":{\"name\":\"2016 IEEE Cybersecurity Development (SecDev)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Cybersecurity Development (SecDev)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SecDev.2016.029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Cybersecurity Development (SecDev)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SecDev.2016.029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Building Practical Secure Multi-party Databases
This work aims at building secure multi-party database systems, for emerging federation networks in healthcare, finance, and other marketplaces. The technical challenges come from the interface gap between existing distributed query processing (DQP) and multi-party computation software. We propose compositional MPC for modular DQP and MPC-aware query optimizations.
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