Collaborative Research: CNS Core: Medium: Understanding and Strengthening Memory Security for Non-Volatile Memory

合作研究：CNS 核心：中：理解和加强非易失性内存的内存安全性

• 批准号: 2107068
• 负责人: Xipeng Shen
• 金额: $ 44.99万
• 依托单位: North Carolina State University
• 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 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2107068&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

Memory safety is essential. Despite decades of research, unauthorized memory reads and writes are still among the most common security attacks. The emerging persistent memory (PM) amplifies the importance of strong memory protections. As a promising supplement or substitute of DRAM as main memory, PM offers higher density, better scaling potential, lower idle power, and non-volatility, while retaining byte addressability and random accessibility. But PM poses some principled differences for protection in comparison to traditional memory in several ways: PM keeps persistent data so data corruption is persistent and costlier; there is no obvious way to recover from data corruption; due to PM data being long lived, its content and structure and hence the impact of data corruption are likely shared by one or more applications over time. This project aims to significantly advance the understanding of PM memory protection, establish the foundation for persistence-conscious memory protection, create a set of novel techniques for protecting PM memory, and for detection, recovery, and diagnostic of PM corruption. The growth of computer performance that has enabled many scientific discoveries and inventions, is slowing down due to the looming end of Moore’s Law. Persistent memory (PM) is one of promising post-Moore’s Law technology that is expected to get into the mainstream computing devices, from internet of things devices all the way to the cloud. This research anticipates security vulnerabilities of the use of PM and attempts to mitigate potential security breaches that could cause tremendous loss to the industry, defense, scientific research, health, and many other domains that will be relying on future computing devices.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.

记忆安全至关重要。尽管进行了数十年的研究，但未经授权的记忆读取和写入仍然是最常见的安全攻击之一。新兴的持续内存（PM）放大器强大的内存保护的重要性。作为主要记忆的承诺补充剂或替代品，PM提供了更高的密度，更好的缩放潜力，较低的怠速功率和非挥发性，同时保持字节可寻址性和随机可访问性。但是，与传统记忆相比，PM具有一些主要的保护差异：PM保持持久数据，因此数据校正是持久且昂贵的；没有明显的方法可以从数据校正中恢复；由于PM数据长期存在，其内容和结构，因此数据校正的影响可能会随着时间的流逝而共享一个或多个应用程序。该项目旨在显着提高对PM记忆保护的理解，为具有持久意识的记忆保护建立基础，创建一组用于保护PM内存的新技术，以及用于检测，恢复和诊断PM腐败的基础。由于摩尔法律的损失终结，计算机性能的增长使许多科学发现和事件都在放缓。持久性记忆（PM）是莫尔后的法律技术的承诺，有望进入主流计算设备，从物联网设备一直到云。这项研究预测了使用PM的安全脆弱性，并试图减轻潜在的安全性呼吸，这些呼吸可能会对行业，国防，科学研究，健康以及许多其他将依赖未来计算设备的领域造成巨大损失。该奖项反映了NSF的法规任务，并通过评估通过基金会的知识优点和广泛的效果来评估，这是NSF的法规任务，并被认为是宝贵的。

项目成果

FFCCD: fence-free crash-consistent concurrent defragmentation for persistent memory

• DOI: 10.1145/3470496.3527406
• 发表时间: 2022-06
• 期刊: Proceedings of the 49th Annual International Symposium on Computer Architecture
• 作者: Yuanchao Xu;Chencheng Ye;Yan Solihin;Xipeng Shen

Reconciling Selective Logging and Hardware Persistent Memory Transaction

• DOI: 10.1109/hpca56546.2023.10071088
• 发表时间: 2023-02
• 期刊: 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
• 作者: Chencheng Ye;Yuanchao Xu;Xipeng Shen;Yan Sha;Xiaofei Liao;Hai Jin;Yan Solihin

Temporal Exposure Reduction Protection for Persistent Memory

• DOI: 10.1109/hpca53966.2022.00071
• 发表时间: 2022-04
• 期刊: 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
• 作者: Yuanchao Xu;Chencheng Ye;Xipeng Shen;Yan Solihin

SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory

• DOI: 10.1145/3575693.3575696
• 发表时间: 2023-01
• 期刊: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2
• 作者: Chencheng Ye;Yuanchao Xu;Xipeng Shen;Yan Sha;Xiaofei Liao;Hai Jin;Yan Solihin

Preserving Addressability Upon GC-Triggered Data Movements on Non-Volatile Memory

• DOI: 10.1145/3511706
• 发表时间: 2022-01
• 期刊: ACM Transactions on Architecture and Code Optimization (TACO)
• 作者: Chencheng Ye;Yuanchao Xu;Xipeng Shen;Hai Jin;Xiaofei Liao;Yan Solihin