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ICN-WEN: Collaborative Research: SPLICE: Secure Predictive Low-Latency Information Centric Edge for Next Generation Wireless Networks

ICN-WEN: Collaborative Research: SPLICE: Secure Predictive Low-Latency Information Centric Edge for Next Generation Wireless Networks
ICN-WEN:协作研究:SPLICE:下一代无线网络的安全预测低延迟信息中心边缘
批准号:
1719369
负责人:
Charlie Hu
金额:
$10.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-06-01 至 2020-05-31

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中文摘要
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英文摘要
The fifth generation of wireless communication promises to provide Gigabits per second data transfer rates and communication delays of less than a millisecond. Significant challenges must be overcome in designing a system architecture such that data intensive and/or latency sensitive applications can obtain the information that they need for peak performance. Information-Centric Networking (ICN) has the potential to enable wireless efficiencies that are critical to support the strict guarantees desired by new applications such as virtual and augmented reality (VR/AR) or the control of swarms of unmanned autonomous vehicles (UAVs). The goal of this project is to design, develop and demonstrate SPLICE, a Secure Predictive Low-Latency Information-Centric Edge wireless network that will be able to provide information guarantees to these emerging applications. The project will also contribute to workforce development by means of curriculum development in this domain and recruitment of students from under-represented groups in STEM.The proposed work is anchored in an ICN implementation called Named Data Networking (NDN), which will be able to effectively tie together application demands and wireless links. The research is organized into three inter-dependent thrusts: (i) Applications for an Information-Centric Wireless Edge: This thrust will define the performance criteria and determine the architecture of the focus application of the project: VR/AR. It will exploit multiple dimensions of commonality between instances of such applications through fast content caching and retrieval, and multicast services. (ii) ICN for the Wireless Edge: explore how information exchange via caching and markets would be accomplished, and how to design secure and privacy-preserving data transfer methods. A key novelty is the use of proactive secure caching that learns the value of applications and ensures they are cached ahead of demand. (iii) Wireless Communication for Information-Centric Networks: employ multicasting capabilities of wireless communication while simultaneously achieving low-delay guarantees and low-complexity feedback mechanisms, via a mix of coding, caching and scheduling techniques.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/3373376.3378516
发表时间: 2020-03
期刊: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems
影响因子: --
作者: [Jiayi Meng;Sibendu Paul;Y. C. Hu]
通讯作者: Jiayi Meng;Sibendu Paul;Y. C. Hu
DOI: 10.1145/3405656.3420227
发表时间: 2020-09
期刊: Proceedings of the 7th ACM Conference on Information-Centric Networking
影响因子: --
作者: [Charalampos Katsis;Ankush Singla;E. Bertino]
通讯作者: Charalampos Katsis;Ankush Singla;E. Bertino
DOI: 10.14722/ndss.2018.23313
发表时间: 2018
期刊: Macromolecular Rapid Communications
影响因子: 4.6
作者: [Syed Rafiul Hussain;Omar Chowdhury;Shagufta Mehnaz;Elisa Bertino]
通讯作者: Syed Rafiul Hussain;Omar Chowdhury;Shagufta Mehnaz;Elisa Bertino
Protecting the 4G and 5G Cellular Paging Protocols against Security and Privacy Attacks
保护 4G 和 5G 蜂窝寻呼协议免受安全和隐私攻击
DOI: 10.2478/popets-2020-0008
发表时间: 2020
期刊: Proceedings on Privacy Enhancing Technologies
影响因子: --
作者: [Singla, Ankush, Hussain, Syed Rafiul, Chowdhury, Omar, Bertino, Elisa, Li, Ninghui]
通讯作者: Li, Ninghui
Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
  • 批准号:
    2312834
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2023
  • 负责人:
    Charlie Hu
  • 依托单位:
Collaborative Research: CNS Core: Small: Edge AI with Streaming Data: Algorithmic Foundations for Online Learning and Control
  • 批准号:
    2225950
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2022
  • 负责人:
    Charlie Hu
  • 依托单位:
CNS Core: Small: Software-Defined Video Analytics Pipeline: Enabling Resilient, High-Accuracy, and Resource-Effective Video Analytics
  • 批准号:
    2211459
  • 项目类别:
    Standard Grant
  • 资助金额:
    $43.81万
  • 财政年份:
    2022
  • 负责人:
    Charlie Hu
  • 依托单位:
CNS Core: Small: A Split Software Architecture for Enabling High-Quality Mixed Reality on Commodity Mobile Devices
  • 批准号:
    2112778
  • 项目类别:
    Standard Grant
  • 资助金额:
    $42.44万
  • 财政年份:
    2021
  • 负责人:
    Charlie Hu
  • 依托单位:
国内基金
海外基金
基于人工神经网络的Bouc-Wen-Baber-Noori滞回模型等效线性化研究
  • 批准号:
    51908478
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    29.0万元
  • 批准年份:
    2019
  • 负责人:
    刘涛
  • 依托单位:
基于Bouc-Wen模型的非线性结构动荷载同伦识别算法研究
  • 批准号:
    51708435
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    25.0万元
  • 批准年份:
    2017
  • 负责人:
    徐训
  • 依托单位: