{"title":"关于使用加密技术保护不受信任的云","authors":"Yao Chen, R. Sion","doi":"10.1145/1866919.1866935","DOIUrl":null,"url":null,"abstract":"In a recent interview, Whitfield Diffie argued that \"the whole point of cloud computing is economy\" and while it is possible in principle for \"computation to be done on encrypted data, [...] current techniques would more than undo the economy gained by the outsourcing and show little sign of becoming practical\". Here we explore whether this is truly the case and quantify just how expensive it is to secure computing in untrusted, potentially curious clouds.\n We start by looking at the economics of computing in general and clouds in particular. Specifically, we derive the end-to-end cost of a CPU cycle in various environments and show that its cost lies between 0.5 picocents in efficient clouds and nearly 27 picocents for small enterprises (1 picocent = $1 x 10-14), values validated against current pricing.\n We then explore the cost of common cryptography primitives as well as the viability of their deployment for cloud security purposes. We conclude that Diffie was correct. Securing outsourced data and computation against untrusted clouds is indeed costlier than the associated savings, with outsourcing mechanisms up to several orders of magnitudes costlier than their non-outsourced locally run alternatives.","PeriodicalId":74537,"journal":{"name":"Proceedings of the ACM Workshop on Privacy in the Electronic Society. ACM Workshop on Privacy in the Electronic Society","volume":"331 1","pages":"109-114"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"84","resultStr":"{\"title\":\"On securing untrusted clouds with cryptography\",\"authors\":\"Yao Chen, R. Sion\",\"doi\":\"10.1145/1866919.1866935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a recent interview, Whitfield Diffie argued that \\\"the whole point of cloud computing is economy\\\" and while it is possible in principle for \\\"computation to be done on encrypted data, [...] current techniques would more than undo the economy gained by the outsourcing and show little sign of becoming practical\\\". Here we explore whether this is truly the case and quantify just how expensive it is to secure computing in untrusted, potentially curious clouds.\\n We start by looking at the economics of computing in general and clouds in particular. Specifically, we derive the end-to-end cost of a CPU cycle in various environments and show that its cost lies between 0.5 picocents in efficient clouds and nearly 27 picocents for small enterprises (1 picocent = $1 x 10-14), values validated against current pricing.\\n We then explore the cost of common cryptography primitives as well as the viability of their deployment for cloud security purposes. We conclude that Diffie was correct. Securing outsourced data and computation against untrusted clouds is indeed costlier than the associated savings, with outsourcing mechanisms up to several orders of magnitudes costlier than their non-outsourced locally run alternatives.\",\"PeriodicalId\":74537,\"journal\":{\"name\":\"Proceedings of the ACM Workshop on Privacy in the Electronic Society. ACM Workshop on Privacy in the Electronic Society\",\"volume\":\"331 1\",\"pages\":\"109-114\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"84\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM Workshop on Privacy in the Electronic Society. ACM Workshop on Privacy in the Electronic Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1866919.1866935\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM Workshop on Privacy in the Electronic Society. ACM Workshop on Privacy in the Electronic Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1866919.1866935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 84
摘要
在最近的一次采访中,Whitfield Diffie认为“云计算的全部意义在于经济”,虽然原则上“在加密数据上进行计算”是可能的,但……目前的技术不仅会抵消外包所带来的经济效益,而且几乎没有迹象表明它将变得实用。”在这里,我们将探讨这种情况是否属实,并量化在不可信的、可能令人好奇的云中保护计算的成本。我们从总体上看计算经济,特别是云计算经济开始。具体来说,我们得出了各种环境中CPU周期的端到端成本,并表明其成本在高效云中为0.5皮cent,在小型企业中为近27皮cent(1皮cent = 1 x 10-14美元),这些值根据当前定价进行了验证。然后,我们将探讨通用加密原语的成本以及部署它们用于云安全目的的可行性。我们的结论是迪菲是正确的。保护外包数据和计算免受不可信云的影响的成本确实比相关的节省要高,外包机制比非外包的本地运行替代方案的成本要高几个数量级。
In a recent interview, Whitfield Diffie argued that "the whole point of cloud computing is economy" and while it is possible in principle for "computation to be done on encrypted data, [...] current techniques would more than undo the economy gained by the outsourcing and show little sign of becoming practical". Here we explore whether this is truly the case and quantify just how expensive it is to secure computing in untrusted, potentially curious clouds.
We start by looking at the economics of computing in general and clouds in particular. Specifically, we derive the end-to-end cost of a CPU cycle in various environments and show that its cost lies between 0.5 picocents in efficient clouds and nearly 27 picocents for small enterprises (1 picocent = $1 x 10-14), values validated against current pricing.
We then explore the cost of common cryptography primitives as well as the viability of their deployment for cloud security purposes. We conclude that Diffie was correct. Securing outsourced data and computation against untrusted clouds is indeed costlier than the associated savings, with outsourcing mechanisms up to several orders of magnitudes costlier than their non-outsourced locally run alternatives.