CIF: Small: Collaborative Research:Towards more Secure Systems: Uniformization for Secrecy

CIF：小型：协作研究：迈向更安全的系统：保密统一化

• 批准号: 1527270
• 负责人: Muriel Medard
• 金额: $ 25.47万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1527270&HistoricalAwards=false
• 关键词: CIF; Small; Collaborative; Research; Towards

As communication networks play an increasingly vital role in our society, ensuring the confidentiality of information transmission and storage has become an increasing concern. New classes of networks, such as heterogeneous wireless networks and distributed storage networks, are emerging, in which the deployment of off-the-shelf cryptographic solutions faces several limitations. These include, for instance, the overhead of key management to maintain synchronized private and public keys; the challenge of distributing keys within the stringent delay constraints imposed by clients; and the exposure to large-scale attacks that were once deemed infeasible. Consequently, several solutions from network coding to physical-layer security have been developed to improve the confidentiality of data over modern wireless networks. Many key-independent and keyless schemes have been developed to provide additional robustness against attacks and more flexibility in the network operation. These schemes have in common that they exploit coded data as keys and move away from the traditional paradigm in which data is a commodity and in which information packets must be transmitted and protected independently. Instead, these schemes envision that information packets could be mixed in a controlled manner so as to introduce an intrinsic level of security against adversaries.Most existing secrecy results hinge on the crucial assumption that data is uniformly distributed and independent from a packet to another. Unfortunately, recent results have shown that even optimal data compression algorithms uniformize the statistics of coded data only in a very weak sense. Consequently, several security guarantees established in the literature may well collapse in the absence of any proven robustness with respect to data uniformity assumptions. The objective of this project is to develop a better understanding of how the statistical properties of passwords and data influence the security of secrecy systems. The project investigates several interrelated research tasks: (i) the analysis of the fundamental limits of data-compression techniques with improved uniformity properties; (ii) the design of low-complexity codes for uniformization; (iii) the application of such algorithms in cloud storage systems. Additional activities include an outreach effort to high-school students.

随着通信网络在我们的社会中发挥越来越重要的作用，确保信息传输和存储的机密性已成为越来越多的关注。新的网络类别，如异构无线网络和分布式存储网络，正在出现，其中部署现成的加密解决方案面临着几个限制。这些问题包括，例如，密钥管理的开销，以保持同步的私钥和公钥;在客户端施加的严格延迟限制内分发密钥的挑战;以及暴露于曾经被认为不可行的大规模攻击。因此，已经开发了从网络编码到物理层安全的几种解决方案来提高现代无线网络上数据的机密性。已经开发了许多密钥无关和无密钥方案，以提供对攻击的额外鲁棒性和网络操作的更大灵活性。这些方案的共同之处在于，它们利用编码数据作为密钥，并且远离传统的范例，在传统的范例中，数据是商品，并且信息分组必须被独立地传输和保护。相反，这些计划设想，信息包可以混合在一个受控的方式，以引入一个内在的安全水平对advertises.Most现有的保密结果取决于关键的假设，即数据是均匀分布的，从一个包到另一个独立。不幸的是，最近的结果表明，即使是最佳的数据压缩算法均匀化的编码数据的统计只有在一个非常弱的意义。因此，在文献中建立的几个安全保证很可能崩溃，在没有任何证明的鲁棒性方面的数据一致性假设。该项目的目标是更好地了解密码和数据的统计特性如何影响保密系统的安全性。该项目调查了几个相互关联的研究任务：（i）分析具有改进均匀性的数据压缩技术的基本限制;（ii）设计用于均匀化的低复杂度代码;（iii）此类算法在云存储系统中的应用。其他活动包括对高中生的外联工作。