CCSS: Collaborative Research: Developing A Physical-Channel Based Lightweight Authentication System for Wireless Body Area Networks

CCSS:协作研究:为无线体域网开发基于物理通道的轻量级身份验证系统

基本信息

  • 批准号:
    1660140
  • 负责人:
  • 金额:
    $ 12.69万
  • 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 2019-08-31
  • 项目状态:
    已结题

项目摘要

Non-intrusive and ambulatory health monitoring of patients? vital signs over Wireless Body Area Networks (WBANs) provides an economical solution to rising costs in the healthcare system. However, due to the lack of security in the operation and communication of resource-constrained medical sensor nodes, the health and medical information provided by the WBANs may not be trusted. To address this issue, lightweight security solutions that are suitable for capability and resource limited body sensor devices must be provided to authenticate the data transmission. The goal of this research project is to develop a lightweight authentication system for resource-constrained WBANs. Findings from the proposed project will provide support for ensuring real-time delivery of accurate and secure medical information in WBANs. The proposed research will also advance the fields of WBANs and trustworthy biomedical computing for healthcare applications. The proposed theories, models, and simulation code can be used by engineers and researchers to design and evaluate security mechanisms for WBAN applications. In addition, an important education objective tightly coupled with the proposed research is to recruit and educate future generation of WBAN engineers. This will be accomplished through curriculum development, student mentoring, and community outreach in these fast changing technical fields of WBAN system engineering, security and mobile health (mHealth).The proposed research aims at realizing physical layer security approaches for WBANs and developing innovative key agreement and message authentication mechanisms. Unlike existing approaches (e.g., biometric-based approaches), the proposed authentication system does not require additional hardware, error reconciliation process and bit synchronization, and thus is suitable for resource-constrained and capacity-limited medical sensor nodes in WBANs. The proposed research tasks include (1) theoretical studies; (2) design of key agreement schemes; (3) development of message authentication system; and (4) system implementation and validation. The theoretical studies focus on the connections between the channel reciprocity, channel dependency and key generation. Based on the results of theoretical studies, practical key agreement schemes that use a set of dynamic wireless channel features among the communication partners will be developed. The project will then design a lightweight authentication system that is adaptive to wireless channels for securing medical data transmission in WBANs. Finally, the project will implement the proposed physical layer security approach in a real resource-constrained WBANs system and investigate the practical system performance limit through experiments. The findings from the project can provide guidelines for physical-channel based security system design and deployment of WBAN applications.
非侵入性和流动的病人健康监测?无线体域网(WBAN)上的生命体征为医疗保健系统中不断上升的成本提供了一种经济的解决方案。然而,由于在资源受限的医疗传感器节点的操作和通信中缺乏安全性,由WBAN提供的健康和医疗信息可能不可信。为了解决这个问题,必须提供适合于能力和资源有限的身体传感器设备的轻量级安全解决方案来认证数据传输。本研究的目的是为资源受限的WBAN开发一个轻量级的认证系统。拟议项目的调查结果将为确保WBAN中准确和安全的医疗信息的实时交付提供支持。拟议的研究还将推进WBAN和医疗保健应用中值得信赖的生物医学计算领域。所提出的理论,模型和仿真代码可以被工程师和研究人员用来设计和评估WBAN应用程序的安全机制。此外,一个重要的教育目标紧密结合拟议的研究是招募和教育未来一代的WBAN工程师。这将通过课程开发,学生辅导,并在这些快速变化的WBAN系统工程,安全和移动的健康(mHealth)技术领域的社区推广。拟议的研究旨在实现WBAN的物理层安全方法和开发创新的密钥协议和消息认证机制。与现有方法(例如,基于生物特征的方法),所提出的认证系统不需要额外的硬件、错误协调过程和比特同步,因此适合于WBAN中资源受限和容量受限的医疗传感器节点。本论文的研究工作包括:(1)理论研究;(2)密钥协商方案的设计;(3)消息认证系统的开发;(4)系统的实现与验证。理论研究主要集中在信道互惠性、信道依赖性和密钥生成之间的联系上。基于理论研究的结果,实际的密钥协商方案,使用一组动态的无线信道之间的通信伙伴的功能将被开发。然后,该项目将设计一个轻量级的认证系统,该系统适用于无线信道,以确保WBAN中医疗数据的传输。最后,本计画将在一个真实的资源受限的WBANs系统中实作所提出的物理层安全性方法,并借由实验来探讨实际系统的效能极限。该项目的研究结果可以为基于物理信道的安全系统设计和WBAN应用的部署提供指导。

项目成果

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Lifeng Lai其他文献

Robust Risk-Sensitive Reinforcement Learning with Conditional Value-at-Risk
具有条件风险价值的鲁棒风险敏感强化学习
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xinyi Ni;Lifeng Lai
  • 通讯作者:
    Lifeng Lai
NEW USES FOR OLD SMARTPHONES
旧智能手机的新用途
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lifeng Lai;Michael Smith;Kewen Gu
  • 通讯作者:
    Kewen Gu
Minimax Optimal Q Learning with Nearest Neighbors
最近邻的 Minimax 最优 Q 学习
  • DOI:
    10.48550/arxiv.2308.01490
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Puning Zhao;Lifeng Lai
  • 通讯作者:
    Lifeng Lai
Key Generation using Ternary Tree based Group Key Generation for Data Encryption and Classification
使用基于三叉树的组密钥生成进行数据加密和分类的密钥生成
  • DOI:
    10.5120/ijca2017912883
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nikita Gupta;Amit Saxena;Maithili Narasimha;Randy Katz;Alfin Abraham;Lifeng Lai
  • 通讯作者:
    Lifeng Lai
Ultra-reliable and low-latency communications: applications, opportunities and challenges
  • DOI:
    10.1007/s11432-020-2852-1
  • 发表时间:
    2021-01-20
  • 期刊:
  • 影响因子:
    7.600
  • 作者:
    Daquan Feng;Lifeng Lai;Jingjing Luo;Yi Zhong;Canjian Zheng;Kai Ying
  • 通讯作者:
    Kai Ying

Lifeng Lai的其他文献

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{{ truncateString('Lifeng Lai', 18)}}的其他基金

CIF: Small: Adversarially Robust Reinforcement Learning: Attack, Defense, and Analysis
CIF:小型:对抗性鲁棒强化学习:攻击、防御和分析
  • 批准号:
    2232907
  • 财政年份:
    2023
  • 资助金额:
    $ 12.69万
  • 项目类别:
    Standard Grant
CIF: SMALL: kNN methods for functional estimation and machine learning
CIF:SMALL:用于功能估计和机器学习的 kNN 方法
  • 批准号:
    2112504
  • 财政年份:
    2021
  • 资助金额:
    $ 12.69万
  • 项目类别:
    Standard Grant
CCSS: Collaborative Research: Sketching for High Dimensional Data Analysis in IoT
CCSS:协作研究:物联网高维数据分析草图
  • 批准号:
    2000415
  • 财政年份:
    2020
  • 资助金额:
    $ 12.69万
  • 项目类别:
    Standard Grant
CIF: Small: Adversarially Robust Statistical Inference
CIF:小:对抗性稳健的统计推断
  • 批准号:
    1908258
  • 财政年份:
    2019
  • 资助金额:
    $ 12.69万
  • 项目类别:
    Standard Grant
CIF: Small: Distributed Statistical Inference with Compressed Data
CIF:小型:使用压缩数据进行分布式统计推断
  • 批准号:
    1717943
  • 财政年份:
    2017
  • 资助金额:
    $ 12.69万
  • 项目类别:
    Standard Grant
CCSS: Quickest Detection Under Energy Constraints
CCSS:能量限制下最快的检测
  • 批准号:
    1711468
  • 财政年份:
    2017
  • 资助金额:
    $ 12.69万
  • 项目类别:
    Standard Grant
CAREER: Building Secure Wireless Communication Systems via Physical Layer Resources
职业:通过物理层资源构建安全的无线通信系统
  • 批准号:
    1760889
  • 财政年份:
    2017
  • 资助金额:
    $ 12.69万
  • 项目类别:
    Continuing Grant
CIF: Small: Collaborative Research: Secret Key Generation Under Resource Constraints
CIF:小型:协作研究:资源限制下的密钥生成
  • 批准号:
    1665073
  • 财政年份:
    2016
  • 资助金额:
    $ 12.69万
  • 项目类别:
    Standard Grant
CIF: Small: Collaborative Research: Secret Key Generation Under Resource Constraints
CIF:小型:协作研究:资源限制下的密钥生成
  • 批准号:
    1618017
  • 财政年份:
    2016
  • 资助金额:
    $ 12.69万
  • 项目类别:
    Standard Grant
WiFiUS: Collaborative Research: Sequential Inference and Learning for Agile Spectrum Use
WiFiUS:协作研究:敏捷频谱使用的顺序推理和学习
  • 批准号:
    1660128
  • 财政年份:
    2016
  • 资助金额:
    $ 12.69万
  • 项目类别:
    Standard Grant

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合作研究:ECCS-CCSS核心:基于谐振光束的光无线通信
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