Collaborative Research: SWIFT: SMALL: Understanding and Combating Adversarial Spectrum Learning towards Spectrum-Efficient Wireless Networking

合作研究:SWIFT:SMALL:理解和对抗对抗性频谱学习以实现频谱高效的无线网络

基本信息

  • 批准号:
    2029858
  • 负责人:
  • 金额:
    $ 18.2万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-09-15 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

The next-generation wireless network is expected to be efficient, reliable, secure and spectrum-intelligent to maximize the efficiency of using the wireless spectrum. Dynamic spectrum access and management designs have shown their potential to substantially improve the spectrum utilization efficiency. To achieve the goal of securing efficient spectrum access and utilization, it is common in wireless network systems to collect and use spectrum reports from individual nodes to detect malicious behaviors and/or eliminate attack impacts. The goal of this project is to understand the potential strategies and impacts of a new attack, called adversarial spectrum learning, which aims to learn from the wireless spectrum data and construct specific attack models against spectrum management systems to disrupt the network performance. The project will also provide effective countermeasure against adversarial spectrum learning.The project will focus on studying important research problems associated with adversarial spectrum learning via analytical modeling, comprehensive simulations, and experimental evaluations. Specifically, the research team aims at (i) formulating the adversarial spectrum learning strategies that can be used by malicious attacks to disrupt the spectrum efficiency and evaluating their damaging impacts in varying wireless and network conditions; (ii) detecting adversarial spectrum learning attacks via new non-parametric detection methods; (iii) creating attack prevention and secure management methods for secure and efficient spectrum access in the potential presence of adversarial spectrum learning, and (iv) comprehensively evaluating the efficiency and effectiveness of the proposed detection and prevention strategies. Appropriate elements from the project will also be integrated into educational materials.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.
下一代无线网络被期望是高效、可靠、安全和频谱智能的,以最大限度地提高无线频谱的使用效率。动态频谱接入和管理设计已经显示出它们的潜力,以大大提高频谱利用效率。为了实现确保有效频谱接入和利用的目标,在无线网络系统中通常收集和使用来自各个节点的频谱报告来检测恶意行为和/或消除攻击影响。该项目的目标是了解一种新攻击的潜在策略和影响,称为对抗性频谱学习,旨在从无线频谱数据中学习并构建针对频谱管理系统的特定攻击模型,以破坏网络性能。该项目还将提供对抗性频谱学习的有效对策。该项目将通过分析建模、综合模拟和实验评估,重点研究与对抗性频谱学习相关的重要研究问题。具体而言,研究团队的目标是(i)制定可被恶意攻击用来破坏频谱效率的对抗性频谱学习策略,并评估其在不同无线和网络条件下的破坏性影响;(ii)通过新的非参数检测方法检测对抗性频谱学习攻击;(iii)创建攻击预防和安全管理方法,用于在对抗性频谱学习的潜在存在下安全和有效的频谱接入,及(iv)全面评估建议的侦测及预防策略的效率及成效。该奖项反映了NSF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

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks
Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing
协作频谱感知中对抗性机器学习攻击的低成本影响限制防御
Learning the Optimal Partition for Collaborative DNN Training with Privacy Requirements
学习具有隐私要求的协作 DNN 训练的最佳划分
  • DOI:
    10.1109/jiot.2021.3127715
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Zhang, Letian;Xu, Jie
  • 通讯作者:
    Xu, Jie
Fooling Edge Computation Offloading via Stealthy Interference Attack
通过隐形干扰攻击欺骗边缘计算卸载
When Attackers Meet AI: Learning-Empowered Attacks in Cooperative Spectrum Sensing
  • DOI:
    10.1109/tmc.2020.3030061
  • 发表时间:
    2022-05-01
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    Luo, Zhengping;Zhao, Shangqing;Sagduyu, Yalin E.
  • 通讯作者:
    Sagduyu, Yalin E.
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Jie Xu其他文献

Basic principles and optical system design of 17.48 keV high-throughput modified Wolter x-ray microscope
17.48 keV高通量改良Wolter X射线显微镜基本原理及光学系统设计
  • DOI:
    10.1063/5.0105015
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    1.6
  • 作者:
    Yaran Li;Wenjie Li;Liang Chen;Huanzhen Ma;Xinye Xu;Jie Xu;Xin Wang;Baozhong Mu
  • 通讯作者:
    Baozhong Mu
A semi-analytical algorithm for deriving the particle size distribution slope of turbid inland water based on OLCI data: a case study in Lake Hongze
基于OLCI数据推导内陆浑浊水体粒径分布斜率的半解析算法——以洪泽湖为例
  • DOI:
    10.1016/j.envpol.2020.116288
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    8.9
  • 作者:
    Shaohua Lei;Jie Xu;Yunmei Li;Lin Li;Heng Lyu;Ge Liu;Yu Chen
  • 通讯作者:
    Yu Chen
Chinese Researchers, Scholarly Communication Behavious, and Trust
中国研究者、学术交流行为和信任
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    David Nicholas;Jie Xu;Lifang Xu;Jing Su;Anthony Watkinson
  • 通讯作者:
    Anthony Watkinson
Proton-assisted growth of ultra-flat graphene films
质子辅助生长超平坦石墨烯薄膜
  • DOI:
    10.1038/s41586-019-1870-3
  • 发表时间:
    2020-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Guowen Yuan;Dongjing Lin;Yong Wang;Xianlei Huang;Wang Chen;Xuedong Xie;Junyu Zong;Qian-Qian Yuan;Hang Zheng;Di Wang;Jie Xu;Shao-Chun Li;Yi Zhang;Jian Sun;Xiaoxiang Xi;Libo Gao
  • 通讯作者:
    Libo Gao
A facile and efficient method to improve the selectivity of methyl lactate in the chemocatalytic conversion of glucose catalyzed by homogeneous Lewis acid
一种简便有效的提高均相路易斯酸催化葡萄糖化学催化转化乳酸甲酯选择性的方法

Jie Xu的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Jie Xu', 18)}}的其他基金

Collaborative Research: CCSS: Hierarchical Federated Learning over Highly-Dense and Overlapping NextG Wireless Deployments: Orchestrating Resources for Performance
协作研究:CCSS:高密度和重叠的 NextG 无线部署的分层联合学习:编排资源以提高性能
  • 批准号:
    2319780
  • 财政年份:
    2023
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Elucidating Mechanisms of Metal Sulfide-Enabled Growth of Anoxygenic Photosynthetic Bacteria Using Transcriptomic, Aqueous/Surface Chemical, and Electron Microscopic Tools
使用转录组、水/表面化学和电子显微镜工具阐明金属硫化物促进不产氧光合细菌生长的机制
  • 批准号:
    2311021
  • 财政年份:
    2023
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
SAI-R: Strengthening American Electricity Infrastructure for an Electric Vehicle Future: An Energy Justice Approach
SAI-R:加强美国电力基础设施以实现电动汽车的未来:能源正义方法
  • 批准号:
    2228603
  • 财政年份:
    2022
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
CAREER: Wireless InferNets: Enabling Collaborative Machine Learning Inference on the Network Path
职业:无线推理网:在网络路径上实现协作机器学习推理
  • 批准号:
    2044991
  • 财政年份:
    2021
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Continuing Grant
CCSS: Collaborative Research: Towards a Resource Rationing Framework for Wireless Federated Learning
CCSS:协作研究:无线联邦学习的资源配给框架
  • 批准号:
    2033681
  • 财政年份:
    2020
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Towards Automated and QoE-driven Machine Learning Model Selection for Edge Inference
合作研究:CNS 核心:小型:面向边缘推理的自动化和 QoE 驱动的机器学习模型选择
  • 批准号:
    2006630
  • 财政年份:
    2020
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: Improving Power Grids Weather Resilience through Model-free Dimension Reduction and Stochastic Search for Optimal Hardening
合作研究:通过无模型降维和随机搜索优化强化来提高电网的耐候能力
  • 批准号:
    1923145
  • 财政年份:
    2019
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: Towards High-Throughput Label-Free Circulating Tumor Cell Separation using 3D Deterministic Dielectrophoresis (D-Cubed)
合作研究:利用 3D 确定性介电泳 (D-Cubed) 实现高通量无标记循环肿瘤细胞分离
  • 批准号:
    1917295
  • 财政年份:
    2019
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: NSF/ENG/ECCS-BSF: Complex liquid droplet structures as new optical and optomechanical materials
合作研究:NSF/ENG/ECCS-BSF:复杂液滴结构作为新型光学和光机械材料
  • 批准号:
    1711798
  • 财政年份:
    2017
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
EAGER-Dynamic Data: A New Scalable Paradigm for Optimal Resource Allocation in Dynamic Data Systems via Multi-Scale and Multi-Fidelity Simulation and Optimization
EAGER-动态数据:通过多尺度和多保真度仿真和优化实现动态数据系统中最佳资源分配的新可扩展范式
  • 批准号:
    1462409
  • 财政年份:
    2015
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: SWIFT-SAT: INtegrated Testbed Ensuring Resilient Active/Passive CoexisTence (INTERACT): End-to-End Learning-Based Interference Mitigation for Radiometers
合作研究:SWIFT-SAT:确保弹性主动/被动共存的集成测试台 (INTERACT):基于端到端学习的辐射计干扰缓解
  • 批准号:
    2332661
  • 财政年份:
    2024
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT-SAT: DASS: Dynamically Adjustable Spectrum Sharing between Ground Communication Networks and Earth Exploration Satellite Systems Above 100 GHz
合作研究:SWIFT-SAT:DASS:地面通信网络与 100 GHz 以上地球探测卫星系统之间的动态可调频谱共享
  • 批准号:
    2332722
  • 财政年份:
    2024
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT-SAT: DASS: Dynamically Adjustable Spectrum Sharing between Ground Communication Networks and Earth Exploration Satellite Systems Above 100 GHz
合作研究:SWIFT-SAT:DASS:地面通信网络与 100 GHz 以上地球探测卫星系统之间的动态可调频谱共享
  • 批准号:
    2332721
  • 财政年份:
    2024
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT-SAT: INtegrated Testbed Ensuring Resilient Active/Passive CoexisTence (INTERACT): End-to-End Learning-Based Interference Mitigation for Radiometers
合作研究:SWIFT-SAT:确保弹性主动/被动共存的集成测试台 (INTERACT):基于端到端学习的辐射计干扰缓解
  • 批准号:
    2332662
  • 财政年份:
    2024
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning
合作研究:SWIFT:基于人工智能的传感通过频谱适应和终身学习提高弹性
  • 批准号:
    2229471
  • 财政年份:
    2023
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT: AI-based Sensing for Improved Resiliency via Spectral Adaptation with Lifelong Learning
合作研究:SWIFT:基于人工智能的传感通过频谱适应和终身学习提高弹性
  • 批准号:
    2229473
  • 财政年份:
    2023
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT: Facilitating Novel Modalities for Spectrum Sharing between Earth-Observing Microwave Radiometers and Commercial Users
合作研究:SWIFT:促进地球观测微波辐射计和商业用户之间频谱共享的新模式
  • 批准号:
    2229103
  • 财政年份:
    2023
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT: Nonlinear and Inseparable Radar And Data (NIRAD) Transmission Framework for Pareto Efficient Spectrum Access in Future Wireless Networks
合作研究:SWIFT:未来无线网络中帕累托高效频谱接入的非线性不可分离雷达和数据 (NIRAD) 传输框架
  • 批准号:
    2348826
  • 财政年份:
    2023
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT: Data Driven Learning and Optimization in Reconfigurable Intelligent Surface Enabled Industrial Wireless Network for Advanced Manufacturing
合作研究:SWIFT:先进制造可重构智能表面工业无线网络中的数据驱动学习和优化
  • 批准号:
    2414946
  • 财政年份:
    2023
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT: Facilitating Novel Modalities for Spectrum Sharing between Earth-Observing Microwave Radiometers and Commercial Users
合作研究:SWIFT:促进地球观测微波辐射计和商业用户之间频谱共享的新模式
  • 批准号:
    2229104
  • 财政年份:
    2023
  • 资助金额:
    $ 18.2万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了