CICI: UCSS: ACSP4HR: Assuring Cyber Security and Privacy for Human Resilience Research: Requirements, Framework, Architecture, Mechanisms and Prototype

CICI：UCSS：ACSP4HR：确保人类复原力研究的网络安全和隐私：要求、框架、架构、机制和原型

• 批准号: 2115134
• 负责人: Shouhuai Xu
• 金额: $ 49.91万
• 依托单位: University of Colorado at Colorado Springs
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2115134&HistoricalAwards=false
• 关键词: CICI; UCSS; ACSP4HR; Assuring; Cyber

Citizens live in a world of prevalent adversities, ranging from childhood trauma, to domestic violence, war, flooding, hurricanes, wildfires, terrorist attacks, acute physical injuries, motor vehicle accidents, and pandemics. These adversities affect many lives; for example, during the past decade alone, unprecedented flooding, catastrophic hurricanes, and devastating wildfires destroyed thousands of homes, vital infrastructure, and communities. Citizens often struggle to cope with these adversities due to the trauma experienced during these events as well as the extensive recovery stress. The Human Resilience research community conducts scientific studies to (i) understand how citizens suffer from these adversities and (ii) seek effective solutions to help citizens recover or bounce back from the stress and trauma caused by these adversities. The importance of Human Resilience research can hardly be overstated because of the large population of citizens affected. Despite this clear importance, the scientific discovery process of Human Resilience research is hindered by the lack of cyberinfrastructure support for secure, privacy-preserving, and policy-complying data sharing that would foster collaborative research. This calls for solutions to modernizing and accelerating the scientific discovery process of Human Resilience research.This project investigates a competent technical solution to modernizing and accelerating the scientific discovery process of Human Resilience research, by tackling a range of technical challenges including: (i) specifying the requirements of a competent cyberinfrastructure; (ii) defining a solution framework to adequately address these requirements; (iii) designing a comprehensive system architecture to fulfill the framework; (iv) investigating novel mechanisms and supporting techniques; and (v) developing a prototype system and demonstrating its usefulness. The project bolsters the scientific collaboration in the Human Resilience research community by encouraging the adoption of security and privacy into its unique scientific workflows and by pioneering a holistic security cyberinfrastructure environment spanning the entire Human Resilience research data-sharing ecosystem.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.

公民生活在一个普遍存在逆境的世界中，从童年创伤到家庭暴力、战争、洪水、飓风、野火、恐怖袭击、急性身体伤害、机动车事故和流行病。这些逆境影响了许多人的生活；例如，仅在过去十年中，前所未有的洪水、灾难性的飓风和毁灭性的野火摧毁了成千上万的房屋、重要的基础设施和社区。由于在这些事件中经历的创伤以及广泛的恢复压力，公民往往难以应对这些逆境。人类弹性研究社区开展科学研究，以(i)了解公民如何遭受这些逆境，（ii）寻求有效的解决方案，帮助公民从这些逆境造成的压力和创伤中恢复或反弹。人类适应力研究的重要性怎么强调都不为过，因为受影响的人口众多。尽管具有明显的重要性，但缺乏安全、隐私保护和符合政策的数据共享的网络基础设施支持，阻碍了人类弹性研究的科学发现过程。这需要解决方案，以现代化和加速人类适应力研究的科学发现过程。本项目通过解决一系列技术挑战，研究一种有效的技术解决方案，以实现人类适应力研究的现代化和加速科学发现过程，包括：(i)指定有效的网络基础设施的要求；（ii）定义一个解决方案框架，以充分满足这些需求；（iii）设计全面的系统架构以落实该架构；（iv）研究新的机制和支持技术；(v)开发原型系统并证明其实用性。该项目鼓励将安全和隐私纳入其独特的科学工作流程，并开创了一个跨越整个人类弹性研究数据共享生态系统的整体安全网络基础设施环境，从而加强了人类弹性研究界的科学合作。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识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

Near-Ultrasound Inaudible Trojan (Nuit): Exploiting Your Speaker to Attack Your Microphone

• 发表时间: 2023
• 作者: Qifeng Xia;Qian Chen;Shouhuai Xu

RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation

• DOI: 10.1145/3510003.3510181
• 发表时间: 2022-02
• 期刊: 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)
• 作者: Zhen Li;Guenevere Chen; Chen-Chen-Chen;Yayi Zou;Shouhuai Xu

vCDS: A Virtualized Cross Domain Solution Architecture

vCDS：虚拟化跨域解决方案架构

• DOI: 10.1109/milcom52596.2021.9652903
• 发表时间: 2021
• 期刊: 2021 IEEE Military Communications Conference (MILCOM'2021
• 作者: Daughety, Nathan;Pendleton, Marcus;Xu, Shouhuai;Njilla, Laurent;Franco, John
• 通讯作者: Franco, John

Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?

• DOI: 10.1145/3485832.3485916
• 发表时间: 2021-09
• 期刊: Proceedings of the 37th Annual Computer Security Applications Conference
• 作者: Deqiang Li;Tian Qiu;Shuo Chen;Qianmu Li;Shouhuai Xu

Malware Family Classification via Residual Prefetch Artifacts

通过残留预取工件进行恶意软件家族分类

• DOI: 10.1109/ccnc49033.2022.9700530
• 发表时间: 2022
• 期刊: Proc. 19th IEEE Consumer Communications and Networking Conference (CCNC’22
• 作者: Duby, Adam;Taylor, Teryl;Zhuang, Yanyan
• 通讯作者: Zhuang, Yanyan