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NSF Convergence Accelerator Track G: PETS: Programmable Zero-Trust Security for Operating Through 5G Infrastructure

NSF Convergence Accelerator Track G: PETS: Programmable Zero-Trust Security for Operating Through 5G Infrastructure
NSF 融合加速器轨道 G:PETS:通过 5G 基础设施运行的可编程零信任安全
批准号:
2226339
负责人:
Guofei Gu
金额:
$75.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-07-15 至 2024-06-30

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中文摘要
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英文摘要
5G mobile communication technology has been standardized to provide high-speed Internet connectivity to various devices and support diverse applications/services. The request for enhanced security is becoming a critical issue when users such as DoD want to securely operate through the current 5G infrastructure. The goal of this proposal is to provide the DoD (and any 5G users and operators) with new, flexible, and programmable zero-trust security capability when operating through existing 5G infrastructure. This project provides a solid foundation and collaborative community for existing and future 5G security operation and research. The key broader social impacts and societal benefits include improved economic outputs, safety, security, privacy, cost of regulation, liability, interruption protection, and distribution of access. This multi-institute project includes experts in security, networking/communication, telecom operation, convergence research, public policy, user study, team science, and national security applications from multiple academic institutions (including an HBCU) and industry partners. This project seeks to broaden participation in the convergence accelerator research by engaging with diverse stakeholder groups including private and public organizations, decision makers, and members of the public, particularly under-represented minority groups. Transitioning from existing research collectively done by the team, this project proposes to build an innovative programmable zero-trust security solution called PETS to enable unified, infrastructure-wide, dynamic, and granular flow-level security control across the entire 5G infrastructure, including end devices, 5G Radio Access Network (RAN), and 5G core network. Based on the proposed system, the 5G operators, developers and/or users can easily write security applications to customize their specific security needs and realize zero-trust security features. Such new security applications can continuously maintain and evaluate risks of accesses, and provide finer-grained, programmable access control and isolation of resources in 5G infrastructure. This project allows military, government, or critical infrastructure operators to securely operate through existing 5G infrastructure with respect to either non-cooperative or cooperative networks. It also enables new innovations in programming dynamic and intelligent security applications to protect the entire 5G infrastructure.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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/dac56929.2023.10247972
发表时间: 2023-07
期刊: 2023 60th ACM/IEEE Design Automation Conference (DAC)
影响因子: --
作者: [Zheyuan Ma;Xi Tan;Lukasz Ziarek;Ning Zhang;Hongxin Hu;Ziming Zhao]
通讯作者: Zheyuan Ma;Xi Tan;Lukasz Ziarek;Ning Zhang;Hongxin Hu;Ziming Zhao
DOI: 10.1109/tifs.2023.3264152
发表时间: 2023
期刊: IEEE Transactions on Information Forensics and Security
影响因子: 6.8
作者: [Sungmin Hong;Lei Xu;Jianwei Huang;Hongda Li;Hongxin Hu;G. Gu]
通讯作者: Sungmin Hong;Lei Xu;Jianwei Huang;Hongda Li;Hongxin Hu;G. Gu
BYOZ: Protecting BYOD Through Zero Trust Network Security
BYOZ:通过零信任网络安全保护 BYOD
DOI: --
发表时间: 2022
期刊: and Storage
影响因子: --
作者: [Anderson, John, Huang, Qiqing, Cheng, Long, Hu, Hongxin]
通讯作者: Hu, Hongxin
DOI: --
发表时间: 2023
期刊: Proceedings of the 36th Annual Computer Security Applications Conference
影响因子: --
作者: [Feng Wei;Hongda Li;Ziming Zhao;Hongxin Hu]
通讯作者: Feng Wei;Hongda Li;Ziming Zhao;Hongxin Hu
RINGS: NextSec: Zero-Trust, Programmable and Verifiable Security Transformation for NextG
Community-Building Workshop on Programmable System Security in a Software-Defined World
SaTC: CORE: Small: Adversarial Learning via Modeling Interpretation
EAGER: USBRCCR: Collaborative: Securing Networks in the Programmable Data Plane Era
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