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

世界每年产生更多的数字数据，并呈指数级增长。将数据存储几十年是具有挑战性的，而将数据存储这么长时间则更具挑战性。该项目为数字信息开发安全、高效、长期的档案存储系统，这些信息可以持续一次人类的一生。该项目使用了一种长期的安全模式，这种模式可以安全地抵御速度更快的计算机，甚至是量子计算机，并可以防止恶意的“内部人士”滥用他们的访问权限，多年来缓慢地秘密窃取数据。最后，该项目探索了如何在单个存储提供商不复存在的情况下安全高效地维护长期数据，该项目利用信息论安全和组合安全开发了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的损坏到大规模云故障的各种错误中幸存下来的技术。然后探讨了额外的存储要求、数据安全性和可靠性以及系统性能之间的权衡。原型系统的经验评估提供了对在项目生命周期中实施这些技术的真实世界问题的洞察，包含这些技术的模拟器允许在更长的时间范围内预测技术的有效性。这个项目促进了跨系统、理论和安全研究人员的合作，以开发实用的技术来保护多年的数据并确保数据保持不变。对于一个以数字数据为基础的社会来说，存储必须满足这两个标准才能依赖它。原型系统和模拟器的所有源代码都是维护和公开发布的。该项目中的材料被整合到研究生课程和新的“安全存储系统”课程中。该项目招募了几名本科生和研究生，并为他们提供联合建议，重点是女性和西班牙裔学生，这两个学生在计算机系统研究中的比例传统上都很低。该项目的成果--软件、源代码、数据集、安全档案模拟器、痕迹和结果--都体现在一个名为“SecArch：安全档案”的系统中。结果将通过同行评议的出版物和arxiv.org传播。所有文物将通过项目网站https://www.filesystems.org/secarch.公开。该项目计划在项目结束后对场地进行至少十年的维护。这一奖励反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.