EAGER: Physical Layer Security for the Internet of Things
EAGER:物联网的物理层安全
基本信息
- 批准号:1647198
- 负责人:
- 金额:$ 20万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Cybersecurity is a one of the most pressing issues in technology development and deployment today, and is a serious societal concern. Wireless networks are particularly challenging in this regard. The Internet of Things is an emerging aspect of wireless communications, which is expected to interconnect hundreds of billions of devices, spanning home, vehicular, and industrial environments. These devices will be used for applications ranging from autonomous vehicles to health care. The complexity, extent and range of applications envisioned for the Internet of Things make it especially vulnerable to cyber-attack, while at the same time making it particularly difficult to protect from such attacks using traditional methods. Furthermore, the massive number of these devices, the low power available to them, the limited hardware of which they will be comprised, and the lack of traditional infrastructure to connect them, also pose severe technical challenges to the use of traditional methods of cyber security in this setting. This study aims to develop a new security paradigm for the Internet of Things, in which the physical properties of the radiofrequency environment are used to enhance the security of communications between devices. This work represents a completely new approach to communications security in the Internet of Things, which has far-reaching implications on the ability of these technologies to be deployed in a greater number of security-sensitive applications. Thus, this research has the potential to transform cybersecurity in an environment that is sure to become a major part of our information infrastructure in the coming years.The proposed work will address critical issues in Internet of Things security, which are based on the defining aspects of the Internet of Things: short-packet communication, massive and widely distributed deployment, and large-scale data collection. Physical-layer security methods, which exploit resources in the transmission medium to guarantee secure communication against eavesdroppers, are promising solutions to address the challenges posed in securing the Internet of Things. This exploratory study will consider the potential of physical-layer-security principles for application in the Internet of Things. Three main thrusts are envisioned: secure transmission of short packets; secure function computation; and scaling laws for secrecy capacity in Internet of Things networks. Short packets are a critical part of Internet of Things applications such as vehicle-to-vehicle communications, alerting systems, and sensor networks. Much work on physical layer security has focused on the classical Shannon regime of infinite block-length, which is not suitable for such applications. Thus, developing an understanding of the fundamentals of physical layer security in the short block-length regime is a critical step in applying such methods to the Internet of Things. The Internet of Things is also associated with very large distributed data applications, in which the Internet of Things terminals are sensors generating large amount of spatially distributed data. In such situations, reliable and secure computation from such data is an important aspect of cyber-security in Internet of Things applications. Therefore, developing techniques to do so is a critical step in the development of secure spatially distributed sensing systems. Moreover, scaling laws have been an important part of the understanding of the capabilities of large-scale wireless networks, such as the Internet of Things. Determining how secrecy capacity scales in such networks will lead to a greater understanding of the fundamental ability of Internet of Things to support secure communication, and can thereby guide the development of secure protocols and coding schemes for Internet of Things applications.
网络安全是当今技术开发和部署中最紧迫的问题之一,也是一个严重的社会问题。无线网络在这方面尤其具有挑战性。物联网是无线通信的一个新兴方面,预计将连接家庭、车辆和工业环境中的数千亿设备。这些设备将用于从自动驾驶汽车到医疗保健等各种应用。物联网应用的复杂性、范围和范围使其特别容易受到网络攻击,同时也使得使用传统方法特别难以防范此类攻击。 此外,这些设备数量庞大、可用功率低、组成它们的硬件有限以及缺乏连接它们的传统基础设施,也对传统网络安全方法的使用提出了严峻的技术挑战在这个设置下。本研究旨在开发一种新的物联网安全范例,其中射频环境的物理特性用于增强设备之间通信的安全性。这项工作代表了一种全新的物联网通信安全方法,这对于将这些技术部署到更多安全敏感应用程序中的能力具有深远的影响。因此,这项研究有可能在未来几年必将成为我们信息基础设施主要部分的环境中改变网络安全。拟议的工作将解决物联网安全中的关键问题,这些问题基于定义方面物联网的特点:短包通信、海量、广泛分布的部署、大规模数据采集。 物理层安全方法利用传输介质中的资源来保证安全通信免遭窃听,是解决物联网安全挑战的有前途的解决方案。这项探索性研究将考虑物理层安全原则在物联网中应用的潜力。 设想了三个主要目标:短数据包的安全传输;安全函数计算;物联网网络保密能力的扩展法则。短数据包是车对车通信、警报系统和传感器网络等物联网应用的关键部分。 关于物理层安全性的许多工作都集中在无限块长度的经典香农机制上,这不适合此类应用。 因此,了解短块长度机制中物理层安全的基础知识是将此类方法应用于物联网的关键一步。物联网还与非常大的分布式数据应用相关,其中物联网终端是产生大量空间分布数据的传感器。在这种情况下,根据此类数据进行可靠且安全的计算是物联网应用中网络安全的一个重要方面。 因此,开发这样做的技术是开发安全空间分布式传感系统的关键一步。 此外,缩放定律一直是理解大规模无线网络(例如物联网)功能的重要组成部分。 确定此类网络中的保密容量如何扩展将有助于更好地了解物联网支持安全通信的基本能力,从而指导物联网应用的安全协议和编码方案的开发。
项目成果
期刊论文数量(20)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Approaches to Secure Inference in the Internet of Things: Performance Bounds, Algorithms, and Effective Attacks on IoT Sensor Networks
物联网中安全推理的方法:物联网传感器网络的性能界限、算法和有效攻击
- DOI:10.1109/msp.2018.2842261
- 发表时间:2018-09-01
- 期刊:
- 影响因子:14.9
- 作者:Jiangfan Zhang;Rick S. Blum;H. Poor
- 通讯作者:H. Poor
Cyclic Interference Alignment for Full-Duplex Multi-Antenna Cellular Networks
全双工多天线蜂窝网络的循环干扰对准
- DOI:10.1109/tcomm.2017.2677946
- 发表时间:2017-03-03
- 期刊:
- 影响因子:8.3
- 作者:W. Shin;Jong;Hyun;Jungwoo Lee;H. Vincent Poor
- 通讯作者:H. Vincent Poor
State-Dependent Gaussian Multiple Access Channels: New Outer Bounds and Capacity Results
状态相关高斯多址信道:新的外界和容量结果
- DOI:10.1109/tit.2018.2839643
- 发表时间:2017-05-03
- 期刊:
- 影响因子:2.5
- 作者:Wei Yang;Yingbin Liang;S. Shamai;H. Poor
- 通讯作者:H. Poor
Secret-Key Generation and Convexity of the Rate Region Using Infinite Compound Sources
使用无限复合源的速率区域的秘密密钥生成和凸性
- DOI:10.1109/tifs.2018.2809680
- 发表时间:2018-02-27
- 期刊:
- 影响因子:6.8
- 作者:Nima Tavangaran;Rafael F. Schaefer;H. Poor;H. Boche
- 通讯作者:H. Boche
Secure computation of linear functions over linear discrete multiple-access wiretap channels
通过线性离散多址窃听通道安全计算线性函数
- DOI:10.1109/acssc.2016.7869665
- 发表时间:2016-11
- 期刊:
- 影响因子:0
- 作者:Goldenbaum, Mario;Boche, Holger;Poor, H. Vincent
- 通讯作者:Poor, H. Vincent
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Harold Vincent Poor其他文献
Collaborative beamforming in ad hoc networks
自组织网络中的协作波束成形
- DOI:
10.1109/itw.2004.1405336 - 发表时间:
2004-10-24 - 期刊:
- 影响因子:0
- 作者:
H. Ochiai;P. Mitran;Harold Vincent Poor;V. Tarokh - 通讯作者:
V. Tarokh
Decentralized Sequential Detection with a Fusion Center Performing the Sequential Test
分散式顺序检测,融合中心执行顺序测试
- DOI:
10.1109/18.212274 - 发表时间:
1992-06-24 - 期刊:
- 影响因子:0
- 作者:
V. Veeravalli;T. Başar;Harold Vincent Poor - 通讯作者:
Harold Vincent Poor
Harold Vincent Poor的其他文献
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{{ truncateString('Harold Vincent Poor', 18)}}的其他基金
ECCS-EPSRC: NeuroComm: Brain-Inspired Wireless Communications -- From Theoretical Foundations to Implementation for 6G and Beyond
ECCS-EPSRC:NeuroComm:受大脑启发的无线通信——从理论基础到 6G 及更高版本的实施
- 批准号:
2335876 - 财政年份:2023
- 资助金额:
$ 20万 - 项目类别:
Continuing 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:
2128448 - 财政年份:2021
- 资助金额:
$ 20万 - 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
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- 资助金额:
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RAPID:合作研究:进化适应对 COVID-19 传播的影响
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2026982 - 财政年份:2020
- 资助金额:
$ 20万 - 项目类别:
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EAGER:Collaborative Research: Blockchain Graphs as Testbeds of Power Grid Resiliece and Functionality Metrics
EAGER:协作研究:区块链图作为电网弹性和功能指标的测试平台
- 批准号:
2039716 - 财政年份:2020
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
NSF-BSF:CIF: Small: A Unified View of Estimation and Information Relationships for Networks and Beyond
NSF-BSF:CIF:小型:网络及其他领域的估计和信息关系的统一视图
- 批准号:
1908308 - 财政年份:2019
- 资助金额:
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Standard Grant
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1824710 - 财政年份:2018
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$ 20万 - 项目类别:
Standard Grant
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WiFiUS:协作研究:物联网中的安全推理
- 批准号:
1702808 - 财政年份:2017
- 资助金额:
$ 20万 - 项目类别:
Standard Grant
AMPS: Collaborative Research: Analysis of Local Power Grid Properties: From Network Motifs to Tensors
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1736417 - 财政年份:2017
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
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CIF:媒介:协作研究:反馈沟通:模型、设计和基本限制
- 批准号:
1513915 - 财政年份:2015
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
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