Location-aware Secutiry and Privacy in 5G Wireless Networks

5G 无线网络中的位置感知安全和隐私

基本信息

  • 批准号:
    494075-2016
  • 负责人:
  • 金额:
    $ 10.56万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Strategic Projects - Group
  • 财政年份:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

The next generation wireless networks, dubbed 5G, provide higher bandwidth, lower latency, and better connectivity, supporting billions of interconnected communicating nodes, ranging from devices of a user, to sensors and autonomous machines. Three main enablers of the next generation wireless services are the heterogeneous (multi-tier) networks known as HetNet, millimetre wave (mmWave) radio spectrum, and massive multiple-input multiple-output (MIMO) antennas at mmWave. Providing security and trust in this environment while crucial, is particularly challenging because of the ability of malicious nodes to present fake identities, and eavesdrop, manipulate and jam the communication. The primary security challenges facing a node in a 5G system are: (i) identifying trustable nodes to connect to and, (ii) ensuring confidentiality and reliability of communication, and secure access to services. Physical layer properties of wireless systems provide a rich set of resources for system designers to enhance security and privacy of communication at affordable cost, complementing cryptographic security that are provided at the higher layer of communication stack. The goal of this project is to use the location-related information of the node for enhancing secure access. Location-related information can be securely realized by tapping into technologies such as massive MIMO and beam forming, that will become widely available in future networks, and be used to can significantly enhance trust on nodes' claimed identities and their access requests, by verifying their location information. Our research will have two complementary prongs:-- Developing theories, models and techniques for providing trustable location-related information, and employing this information to guarantee secure access to services;-- Developing communication technologies including massive MIMO at mmWave, coding and modulation to implement and experimentally validate the theoretical results, in practice.
下一代无线网络,被称为5G,提供更高的带宽,更低的延迟和更好的连接,支持数十亿互连通信节点,从用户设备到传感器和自动机器。下一代无线服务的三个主要推动因素是被称为HetNet的异构(多层)网络、毫米波(mmWave)无线电频谱和毫米波的大规模多输入多输出(MIMO)天线。在这种环境中提供安全和信任虽然至关重要,但尤其具有挑战性,因为恶意节点能够提供虚假身份,并窃听、操纵和干扰通信。5G系统中节点面临的主要安全挑战是:(i)确定要连接的可信任节点,(ii)确保通信的机密性和可靠性,以及对服务的安全访问。无线系统的物理层特性为系统设计人员提供了丰富的资源,以可承受的成本增强通信的安全性和保密性,补充了在通信堆栈的更高层提供的加密安全性。该项目的目标是使用节点的位置相关信息来增强安全访问。与位置相关的信息可以通过利用大规模MIMO和波束形成等技术来安全实现,这些技术将在未来的网络中广泛使用,并通过验证节点的位置信息来显著增强对节点声称的身份及其访问请求的信任。我们的研究将有两个互补的方面:-发展理论,模型和技术,提供可信赖的位置相关信息,并利用这些信息来保证安全访问服务;-开发通信技术,包括毫米波的大规模MIMO,编码和调制,以实现和实验验证理论结果,在实践中。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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

{{ 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 }}

Valaee, Shahrokh其他文献

Landmark Graph-Based Indoor Localization
  • DOI:
    10.1109/jiot.2020.2989501
  • 发表时间:
    2020-09-01
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Gu, Fuqiang;Valaee, Shahrokh;Zhang, Rui
  • 通讯作者:
    Zhang, Rui
Vehicular node localization using received-signal-strength indicator
A Survey on Behavior Recognition Using WiFi Channel State Information
  • DOI:
    10.1109/mcom.2017.1700082
  • 发表时间:
    2017-10-01
  • 期刊:
  • 影响因子:
    11.2
  • 作者:
    Yousefi, Siamak;Narui, Hirokazu;Valaee, Shahrokh
  • 通讯作者:
    Valaee, Shahrokh
Diversified viral marketing: The power of sharing over multiple online social networks
  • DOI:
    10.1016/j.knosys.2019.105430
  • 发表时间:
    2020-04-06
  • 期刊:
  • 影响因子:
    8.8
  • 作者:
    Al Abri, Dawood;Valaee, Shahrokh
  • 通讯作者:
    Valaee, Shahrokh
Delay Aware Link Scheduling for Multi-Hop TDMA Wireless Networks
  • DOI:
    10.1109/tnet.2008.2005219
  • 发表时间:
    2009-06-01
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Djukic, Petar;Valaee, Shahrokh
  • 通讯作者:
    Valaee, Shahrokh

Valaee, Shahrokh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('Valaee, Shahrokh', 18)}}的其他基金

Localization of Wireless Terminals via Deep Learning
通过深度学习定位无线终端
  • 批准号:
    RGPIN-2017-06625
  • 财政年份:
    2021
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Discovery Grants Program - Individual
Localization of Wireless Terminals via Deep Learning
通过深度学习定位无线终端
  • 批准号:
    RGPIN-2017-06625
  • 财政年份:
    2020
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Discovery Grants Program - Individual
Localization of Wireless Terminals via Deep Learning
通过深度学习定位无线终端
  • 批准号:
    RGPIN-2017-06625
  • 财政年份:
    2019
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Discovery Grants Program - Individual
Location-aware Secutiry and Privacy in 5G Wireless Networks
5G 无线网络中的位置感知安全和隐私
  • 批准号:
    494075-2016
  • 财政年份:
    2018
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Strategic Projects - Group
Automatic Training and Radiomap Collection for Indoor Location Estimation
用于室内位置估计的自动训练和无线电地图收集
  • 批准号:
    531951-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Engage Grants Program
Localization of Wireless Terminals via Deep Learning
通过深度学习定位无线终端
  • 批准号:
    RGPIN-2017-06625
  • 财政年份:
    2018
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Discovery Grants Program - Individual
Localization of Wireless Terminals via Deep Learning
通过深度学习定位无线终端
  • 批准号:
    RGPIN-2017-06625
  • 财政年份:
    2017
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Discovery Grants Program - Individual
Privacy Preserving Location Estimation
隐私保护位置估计
  • 批准号:
    RGPIN-2016-06445
  • 财政年份:
    2016
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Discovery Grants Program - Individual
Location-aware Secutiry and Privacy in 5G Wireless Networks
5G 无线网络中的位置感知安全和隐私
  • 批准号:
    494075-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Strategic Projects - Group
Automatic vehicule identification using WiFi positioning
利用WiFi定位自动识别车辆
  • 批准号:
    500256-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Collaborative Research and Development Grants

相似国自然基金

动态无线传感器网络弹性化容错组网技术与传输机制研究
  • 批准号:
    61001096
  • 批准年份:
    2010
  • 资助金额:
    20.0 万元
  • 项目类别:
    青年科学基金项目
基于计算和存储感知的运动估计算法与结构研究
  • 批准号:
    60803013
  • 批准年份:
    2008
  • 资助金额:
    18.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Traversing the Gray Zone with Scale-aware Turbulence Closures
通过尺度感知的湍流闭合穿越灰色区域
  • 批准号:
    2337399
  • 财政年份:
    2024
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Standard Grant
RII Track-4:NSF: HEAL: Heterogeneity-aware Efficient and Adaptive Learning at Clusters and Edges
RII Track-4:NSF:HEAL:集群和边缘的异质性感知高效自适应学习
  • 批准号:
    2327452
  • 财政年份:
    2024
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Standard Grant
Collaborative Research: An Integrated Framework for Learning-Enabled and Communication-Aware Hierarchical Distributed Optimization
协作研究:支持学习和通信感知的分层分布式优化的集成框架
  • 批准号:
    2331710
  • 财政年份:
    2024
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Standard Grant
Collaborative Research: An Integrated Framework for Learning-Enabled and Communication-Aware Hierarchical Distributed Optimization
协作研究:支持学习和通信感知的分层分布式优化的集成框架
  • 批准号:
    2331711
  • 财政年份:
    2024
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Standard Grant
CAREER: A Universal Framework for Safety-Aware Data-Driven Control and Estimation
职业:安全意识数据驱动控制和估计的通用框架
  • 批准号:
    2340089
  • 财政年份:
    2024
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Standard Grant
Situation-aware Multi-sided Personalised Analytics in Spatial Crowdsourcing
空间众包中的态势感知多边个性化分析
  • 批准号:
    DP240100356
  • 财政年份:
    2024
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Discovery Projects
CBET-EPSRC: TECAN - Telemetry-Enabled Carbon Aware Networking
CBET-EPSRC:TECAN - 支持遥测的碳感知网络
  • 批准号:
    EP/X040828/1
  • 财政年份:
    2024
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Research Grant
A Knowledge-aware Multi-tasks-based Disease Network Construction on Biomedical Literature
基于生物医学文献的知识感知多任务疾病网络构建
  • 批准号:
    24K15097
  • 财政年份:
    2024
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Hardware-aware Network Architecture Search under ML Training workloads
ML 训练工作负载下的硬件感知网络架构搜索
  • 批准号:
    2904511
  • 财政年份:
    2024
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Studentship
CAREER: Psychology-aware Human-in-the-Loop Cyber-Physical-System (HCPS): Methodologies, Algorithms, and Deployment
职业:具有心理学意识的人在环网络物理系统 (HCPS):方法、算法和部署
  • 批准号:
    2339266
  • 财政年份:
    2024
  • 资助金额:
    $ 10.56万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了