Collaborative Research: NSF-AoF: CNS Core: Small: Secure Wireless Powered Backscatter Communication for IoT

合作研究:NSF-AoF:CNS 核心:小型:物联网安全无线供电反向散射通信

基本信息

  • 批准号:
    2131507
  • 负责人:
  • 金额:
    $ 28万
  • 依托单位:
  • 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:
    2021-10-01 至 2024-09-30
  • 项目状态:
    已结题

项目摘要

Wireless powered backscatter communication (WPBC) has emerged as a promising technology to support long-term, low-cost, and low-complexity Internet-of-Things (IoT) device communications and networking. Ensuring WPBC security is crucially important to drive its wide applications, e.g., smart cities, smart wearables, smart agriculture, smart skins, mobile payment, and supply chain. However, resource constraints on backscatter devices and the broadcast nature of radio transmissions render the securing of WPBC challenging. Aiming to enhance the resource-constrained WPBC network security, the PIs propose novel techniques that exploit physical layer properties of WPBC and machine learning technologies to achieve efficient key agreement, anti-jamming communication, and robust device authentication with joint consideration of energy efficiency, security, and communication performance. The proposed research is expected to greatly advance the understanding of the design tradeoff between communication and security performance goals in WPBC networks. Under-represented students will be actively involved in the proposed research activities through senior design projects, summer interns, and outreach programs. Research results will be integrated in teaching and disseminated through publications, presentations, and a project website. A significant amount of experimental data will be collected and shared to the wireless communication and networking community.Three major research thrusts are proposed in this project. Thrust 1 investigates efficient and scalable key generation schemes between/among wireless powered backscatter devices. Unique challenges in backscatter communication and resource constraints will be efficiently addressed by transceiver designs and optimization. The energy efficiency of the proposed schemes is expected to outperform traditional cryptography-based schemes (e.g., Diffie-Hellman Key Exchange) by one to two orders of magnitude. Thrust 2 studies anti-jamming schemes based on multi-armed bandit (MAB) online learning frameworks to effectively harvest jamming energy to achieve reliable and efficient WPBC in a multi-channel network. The proposed scheme will turn jamming into an energy harvesting opportunity while achieving reliable communication through learning the jammed and jamming-free channels online. The proposed scheme will enjoy low computational and storage overhead. In Thrust 3, the proposed device authentication schemes are expected to achieve high authentication performance by exploiting new factors (i.e., incident signal randomization, angle of arrival estimation) at the physical layer. They can be integrated with higher layer cryptography-based authentication schemes to enable multi-factor authentication with capabilities of detecting and tracing illegal devices. A multi-channel WPBC testbed operating in sub-6GHz bands will be developed based on the wireless identification and sensing platform (WISP) and Universal Software Radio Peripheral (USRP) 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.
无线供电反向散射通信(WPBC)已经成为支持长期、低成本和低复杂度物联网(IoT)设备通信和联网的有前景的技术。确保WPBC的安全性对于推动其广泛应用至关重要,例如,智慧城市、智慧可穿戴设备、智慧农业、智能皮肤、移动的支付和供应链。然而,反向散射设备的资源限制和无线电传输的广播性质使得WPBC的安全性具有挑战性。为了增强资源受限的WPBC网络安全性,PI提出了新的技术,利用WPBC的物理层属性和机器学习技术来实现高效的密钥协商,抗干扰通信和鲁棒的设备认证,同时考虑能源效率,安全性和通信性能。拟议中的研究预计将大大推进在WPBC网络的通信和安全性能目标之间的设计权衡的理解。代表性不足的学生将通过高级设计项目,暑期实习生和外展计划积极参与拟议的研究活动。研究成果将纳入教学,并通过出版物,演示文稿和项目网站传播。大量的实验数据将被收集并分享给无线通信和网络社区。本项目提出了三个主要研究方向。推力1研究了无线供电反向散射设备之间的高效和可扩展的密钥生成方案。后向散射通信和资源限制的独特挑战将有效地解决收发器的设计和优化。所提出的方案的能量效率预期优于传统的基于密码的方案(例如,Diffie-Hellman密钥交换)提高一到两个数量级。Thrust 2研究了基于多臂强盗(MAB)在线学习框架的抗干扰方案,以有效地收集干扰能量,从而在多信道网络中实现可靠和高效的WPBC。该方案将干扰转化为能量收集的机会,同时通过在线学习干扰和无干扰信道来实现可靠的通信。所提出的方案将享受低的计算和存储开销。在推力3中,期望所提出的设备认证方案通过利用新的因素(即,事件信号随机化、到达角估计)在物理层。它们可以与更高层的基于密码的身份验证方案集成,以实现具有检测和跟踪非法设备能力的多因素身份验证。一个多通道的WPBC测试平台将在低于6 GHz频段运行的基础上开发的无线识别和传感平台(WISP)和通用软件无线电外设(USRP)设备。这个奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

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)
Security Analysis of Triangle Channel-Based Physical Layer Key Generation in Wireless Backscatter Communications
BatAu: A Batch Authentication Scheme for Backscatter Devices in a Smart Home Network
  • DOI:
    10.1109/icc45041.2023.10279771
  • 发表时间:
    2023-05
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yishan Yang;Masoud Kaveh;Jiajun Li;Yifan Zhang;Zheng Yan;Kai Zeng
  • 通讯作者:
    Yishan Yang;Masoud Kaveh;Jiajun Li;Yifan Zhang;Zheng Yan;Kai Zeng
BGKey: Group Key Generation for Backscatter Communications Among Multiple Devices
Resource Allocation Optimization for Secure Multidevice Wirelessly Powered Backscatter Communication With Artificial Noise
BCAuth: Physical Layer Enhanced Authentication and Attack Tracing for Backscatter Communications
BCAuth:反向散射通信的物理层增强身份验证和攻击跟踪
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Kai Zeng其他文献

Wireless-Powered Multi-Channel Backscatter Communications Under Jamming: A Cooperative Reinforcement Learning Approach
干扰下的无线供电多通道反向散射通信:一种协作强化学习方法
Recent Advances in Non‐Noble Bifunctional Oxygen Electrocatalysts toward Large‐Scale Production
非贵金属双功能氧电催化剂大规模生产的最新进展
  • DOI:
    10.1002/adfm.202000503
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    19
  • 作者:
    Kai Zeng;Xiangjun Zheng;Cong Li;Jin Yan;Jing‐Hua Tian;Chao Jin;Peter Strasser;Ruizhi Yang
  • 通讯作者:
    Ruizhi Yang
Efficient parallel algorithm for computing rough set approximation on GPU
在 GPU 上计算粗糙集近似的高效并行算法
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Siyuan Jing;Gongliang Li;Kai Zeng;Wei Pan
  • 通讯作者:
    Wei Pan
Beyond Planar: An Additively Manufactured, Origami-Inspired Shape-Changing, and RFIC-Based Phased Array for Near-Limitless Radiation Pattern Reconfigurability in 5G/mm-Wave Applications
超越平面:增材制造、受折纸启发的变形且基于 RFIC 的相控阵,可在 5G/毫米波应用中实现近乎无限的辐射方向图可重构性
Polarization-modulation-based orientation metrology of optically levitated rotating birefringent particles
基于偏振调制的光悬浮旋转双折射粒子的取向计量
  • DOI:
    10.1103/physrevresearch.6.013160
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    Kai Zeng;Yulie Wu;Xuezhong Wu;D. Xiao
  • 通讯作者:
    D. Xiao

Kai Zeng的其他文献

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{{ truncateString('Kai Zeng', 18)}}的其他基金

Collaborative Research: SaTC: CORE: Medium: Securing Next G Millimeter-Wave Communication in Programmable RF Environments with Reconfigurable Intelligent Surface (SECURIS)
协作研究:SaTC:核心:中:使用可重构智能表面 (SECURIS) 确保可编程射频环境中的下一代毫米波通信
  • 批准号:
    2318796
  • 财政年份:
    2023
  • 资助金额:
    $ 28万
  • 项目类别:
    Continuing Grant
NSF Convergence Accelerator Track G: Secure Texting over Non-cooperative Networks and Anti-jamming Enhancement in 5G
NSF 融合加速器轨道 G:非合作网络上的安全短信和 5G 抗干扰增强
  • 批准号:
    2226423
  • 财政年份:
    2022
  • 资助金额:
    $ 28万
  • 项目类别:
    Standard Grant
TWC: Small: Secure Near Field Communications between Mobile Devices
TWC:小型:移动设备之间的安全近场通信
  • 批准号:
    1619073
  • 财政年份:
    2016
  • 资助金额:
    $ 28万
  • 项目类别:
    Standard Grant
EARS: Collaborative Research: Intelligence Measure of Cognitive Radio Networks
EARS:协作研究:认知无线电网络的智能测量
  • 批准号:
    1443887
  • 财政年份:
    2015
  • 资助金额:
    $ 28万
  • 项目类别:
    Standard Grant
CAREER: Towards Reliable and Efficient Network Monitoring in White Space
职业:在白色空间实现可靠、高效的网络监控
  • 批准号:
    1502584
  • 财政年份:
    2014
  • 资助金额:
    $ 28万
  • 项目类别:
    Continuing Grant
Evolutionary ecological genomics of the great tit
大山雀的进化生态基因组学
  • 批准号:
    NE/L005328/1
  • 财政年份:
    2014
  • 资助金额:
    $ 28万
  • 项目类别:
    Research Grant
EARS: Collaborative Research: Intelligence Measure of Cognitive Radio Networks
EARS:协作研究:认知无线电网络的智能测量
  • 批准号:
    1464487
  • 财政年份:
    2014
  • 资助金额:
    $ 28万
  • 项目类别:
    Standard Grant
The effects of natural selection on genome-wide patterns of genetic variation
自然选择对全基因组遗传变异模式的影响
  • 批准号:
    BB/K000209/1
  • 财政年份:
    2013
  • 资助金额:
    $ 28万
  • 项目类别:
    Research Grant
CAREER: Towards Reliable and Efficient Network Monitoring in White Space
职业:在白色空间实现可靠、高效的网络监控
  • 批准号:
    1149500
  • 财政年份:
    2012
  • 资助金额:
    $ 28万
  • 项目类别:
    Continuing Grant

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