Collaborative Research: CNS Core: Medium: Secure, Reliable, and Efficient Long-Term Storage

合作研究：CNS核心：中：安全、可靠、高效的长期存储

• 批准号: 2106259
• 负责人: Ethan Miller
• 金额: $ 46.65万
• 依托单位: University of California-Santa Cruz
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2106259&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

The world produces more digital data annually that’s growing exponentially. Storing data for decades is challenging and securing it for so long is even more challenging. This project develops secure, efficient, long-term archival storage systems for digital information that endures beyond a single human lifetime. The project uses a long-term security model that is safe against faster computers and even quantum computers and can protect against malicious "insiders" who abuse their access to secretly steal data slowly over years. Lastly, the project explores how to maintain long-term data securely and efficiently, even if individual storage providers cease to exist.This project develops techniques to store archival data securely and reliably for a long-time using information theoretic security and combinatorial security. The project explores techniques to allow data to survive errors ranging from corruptions of a few bytes to large-scale cloud failures. It then explores the trade-off between additional storage requirements, data security and reliability, and system performance. Empirical evaluation of a prototype system provides insights into real-world issues in implementing these techniques over the project’s lifespan, and a simulator embodying these techniques allows projection of the techniques’ effectiveness over much longer time frames.This project fosters collaborations across systems, theory, and security researchers to develop practical techniques to both secure data for many years and ensure that the data endures unchanged. Storage must meet both criteria for a society based on digital data to rely on it. All source code for a prototype system and simulator is maintained and released publicly. Material from this project is integrated into graduate level courses and a new “Secure Storage Systems” course. The project recruits and co-advises several under/graduate students, with a focus on female and Hispanic students, both traditionally underrepresented in computer systems research.The project's artifacts—software, source code, data sets, secure archive simulator, traces, and results—are all embodied in a system called "SecArch: Secure Archives". Results will be disseminated using peer-reviewed publications and arxiv.org. All artifacts will be made public through the project Website: https://www.filesystems.org/secarch. The project plans to maintain the site for at least ten years following the end of the project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

世界每年产生更多的数字数据，并且呈指数级增长。 存储数据数十年具有挑战性，而长期保护数据则更具挑战性。 该项目开发安全、高效、长期的数字信息档案存储系统，其寿命超过人的一生。 该项目使用长期安全模型，可以安全地抵御更快的计算机甚至量子计算机，并且可以防止恶意“内部人员”滥用其访问权限多年来缓慢地秘密窃取数据。 最后，该项目探讨了即使单个存储提供商不复存在，如何安全有效地维护长期数据。该项目开发使用信息论安全性和组合安全性长期安全可靠地存储档案数据的技术。 该项目探索了允许数据在从几个字节损坏到大规模云故障等错误中幸存下来的技术。 然后探讨额外存储需求、数据安全性和可靠性以及系统性能之间的权衡。 对原型系统的实证评估提供了对在项目生命周期内实施这些技术的现实问题的见解，而体现这些技术的模拟器允许在更长的时间范围内预测这些技术的有效性。该项目促进跨系统、理论和安全研究人员的合作，开发实用技术，以保护数据多年并确保数据持久不变。 存储必须满足基于数字数据的社会所依赖的这两个标准。 原型系统和模拟器的所有源代码均公开维护和发布。 该项目的材料已集成到研究生课程和新的“安全存储系统”课程中。 该项目招募并共同指导几名本科生/研究生，重点关注女性和西班牙裔学生，这两种学生传统上在计算机系统研究中代表性不足。该项目的工件——软件、源代码、数据集、安全存档模拟器、痕迹和结果——都体现在一个名为“SecArch：安全档案”的系统中。 结果将通过同行评审出版物和 arxiv.org 传播。 所有工件将通过项目网站公开：https://www.filesystems.org/secarch。 该项目计划在项目结束后至少维护该站点十年。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Lethe: Secure Deletion by Addition

Lethe：通过添加安全删除

• 发表时间: 2023
• 期刊: Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems
• 作者: Chou, Eugene;Conrad-Shah, Leo;Barker, Austen;Quinn, Andrew;Miller, Ethan L.;Long, Darrell D.
• 通讯作者: Long, Darrell D.