Practical Data-intensive Secure Computation: a Data Structural Approach
实用数据密集型安全计算:数据结构方法
基本信息
- 批准号:EP/M013561/2
- 负责人:
- 金额:$ 45.52万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2016
- 资助国家:英国
- 起止时间:2016 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In the past a few year, we have seen a dramatic increase in the scale and financial damage caused by cyber attacks. A survey commissioned by the government's Department for Business, Innovations and Skills (BIS) found that 93% of large businesses and 87% of smaller businesses suffered security breaches during 2013. An estimation from IDC says that companies around the world will spend $364 billion for dealing with data breaches in 2014. Data security is of paramount importance for most organisations. Compounding the problem, changes in computing -- particularly the booming of Cloud computing and collaborative data analysis -- has added another layer of complexity to the security landscape. Secure computation has the potential to completely reshape the cybersecruity landscape, but this will happen only if we can make it practical. Despite significant improvements recently, secure computation is still orders of magnitude slower than computation in the clear. Even with the latest technology, running the killer apps, which are often data-intensive, in secure computation is still a mission impossible. To make secure computation practical, we propose this groundbreaking data structural approach.In computer science, there are two fundamental approaches to improve performance of computation: by using a better algorithm, or by using a proper data structure. In secure computation, we have seen many improvements through the algorithmic approach. But surprisingly, data structures have been largely overlooked in the past. Recently, we have found ample evidence in our own and also others' research that data structures can be a key efficiency and scalability booster of secure computation. Based on the evidence, we believe the situation is sure to change: with data playing the central role and driving the computation, data structural design will become an indispensable part of secure computation. It is time to systematically investigate the design of data structures and accompanied protocols in the context of secure computation. Our proposed research will make scientific advances by investigating both data structures and cryptography. The starting point will be comprehensive case-by-case studies. Then the focus will be solving more complex problems by composition and to make data structures generic across multiple secure computation frameworks. Eventually we will draw design principles to guide future design practice.
在过去的几年里,我们看到网络攻击造成的规模和经济损失急剧增加。英国商业、创新和技能部(BIS)委托进行的一项调查发现,93%的大型企业和87%的小型企业在2013年遭遇了安全漏洞。据IDC估计,2014年全球企业将花费3640亿美元用于处理数据泄露事件。数据安全对大多数企业来说至关重要。使问题更加复杂的是,计算的变化-特别是云计算和协作数据分析的蓬勃发展-为安全领域增加了另一层复杂性。安全计算有可能彻底重塑网络安全格局,但只有当我们能够使其实用化时,这种情况才会发生。尽管最近有了显著的改进,但安全计算仍然比明文计算慢几个数量级。即使使用最新的技术,在安全计算中运行杀手级应用程序(通常是数据密集型的)仍然是一项使命。在计算机科学中,有两种基本的方法可以提高计算的性能:通过使用更好的算法,或者通过使用适当的数据结构。在安全计算中,我们已经看到了通过算法方法的许多改进。但令人惊讶的是,数据结构在过去很大程度上被忽视了。最近,我们在自己和其他人的研究中发现了大量的证据,表明数据结构可以成为安全计算的关键效率和可扩展性助推器。基于这些证据,我们相信这种情况肯定会改变:随着数据发挥核心作用并驱动计算,数据结构设计将成为安全计算不可或缺的一部分。现在是时候系统地研究安全计算背景下的数据结构和相关协议的设计了。我们提出的研究将通过调查数据结构和密码学来实现科学进步。起点将是全面的个案研究。然后,重点将是通过组合来解决更复杂的问题,并使数据结构在多个安全计算框架中通用。最后得出设计原则,以指导今后的设计实践。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
MAS-Encryption and Its Applications in Privacy-Preserving Classifiers
MAS加密及其在隐私保护分类器中的应用
- DOI:10.1109/tkde.2020.3009221
- 发表时间:
- 期刊:
- 影响因子:8.9
- 作者:Gao Chongzhi;Li Jin;Xia Shibing;Choo Kim-Kwang Raymond;Lou Wenjing;Dong Changyu
- 通讯作者:Dong Changyu
VD-PSI: Verifiable Delegated Private Set Intersection on Outsourced Private Datasets
- DOI:10.1007/978-3-662-54970-4_9
- 发表时间:2016-06
- 期刊:
- 影响因子:0
- 作者:A. Abadi;S. Terzis;Changyu Dong
- 通讯作者:A. Abadi;S. Terzis;Changyu Dong
Approximating Private Set Union/Intersection Cardinality With Logarithmic Complexity
- DOI:10.1109/tifs.2017.2721360
- 发表时间:2017-11-01
- 期刊:
- 影响因子:6.8
- 作者:Dong, Changyu;Loukides, Grigorios
- 通讯作者:Loukides, Grigorios
Analyzing and Patching SPEKE in ISO/IEC
ISO/IEC 中的 SPEKE 分析和修补
- DOI:10.1109/tifs.2018.2832984
- 发表时间:2018
- 期刊:
- 影响因子:6.8
- 作者:Hao F
- 通讯作者:Hao F
VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning
- DOI:10.1109/tifs.2020.3043139
- 发表时间:2021-01-01
- 期刊:
- 影响因子:6.8
- 作者:Guo, Xiaojie;Liu, Zheli;Baker, Thar
- 通讯作者:Baker, Thar
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Changyu Dong其他文献
Secure Set-Based Policy Checking and Its Application to Password Registration
基于安全集的策略检查及其在密码注册中的应用
- DOI:
10.1007/978-3-319-26823-1_5 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Changyu Dong;Franziskus Kiefer - 通讯作者:
Franziskus Kiefer
A New Hash-based Enhanced Privacy ID Signature Scheme
一种新的基于哈希的增强隐私ID签名方案
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Liqun Chen;Changyu Dong;N. E. Kassem;Christopher J. P. Newton;Yalan Wang - 通讯作者:
Yalan Wang
Effect of B, Al, Ga doping on the electronic structure and optical property of 4H-SiC system by the first principles calculation
第一性原理计算B、Al、Ga掺杂对4H-SiC体系电子结构和光学性能的影响
- DOI:
10.1142/s0217984921500913 - 发表时间:
2020-11 - 期刊:
- 影响因子:1.9
- 作者:
Xuefeng Lu;Changyu Dong;Xin Guo - 通讯作者:
Xin Guo
Place and Time Authentication of Cultural Assets
文物鉴定地点和时间
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
L. Mostarda;Changyu Dong;Naranker Dulay - 通讯作者:
Naranker Dulay
Efficient Data Intensive Secure Computation: Fictional or Real?
高效数据密集型安全计算:虚构还是真实?
- DOI:
10.1007/978-3-319-26096-9_35 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Changyu Dong - 通讯作者:
Changyu Dong
Changyu Dong的其他文献
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{{ truncateString('Changyu Dong', 18)}}的其他基金
Practical Data-intensive Secure Computation: a Data Structural Approach
实用数据密集型安全计算:数据结构方法
- 批准号:
EP/M013561/1 - 财政年份:2016
- 资助金额:
$ 45.52万 - 项目类别:
Research Grant
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