Collaborative Research: SaTC: CORE: Small: Understanding the Limitations of Wireless Network Security Designs Leveraging Wireless Properties: New Threats and Defenses in Practice
协作研究:SaTC:核心:小型:了解利用无线特性的无线网络安全设计的局限性:实践中的新威胁和防御
基本信息
- 批准号:2316719
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-11-15 至 2026-10-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Many of today's wireless devices feature small-scale, low-cost designs to align with the requirements of Internet of Things systems and applications. Thus, many of these devices cannot perform cryptographic operations or need to avoid such operations to preserve energy (e.g., implantable medical devices). However, these devices commonly handle sensitive data. An important research direction is to create efficient, lightweight yet secure designs of such devices by leveraging unique wireless channel properties in wireless networks while considering formal adversary models. In this project, this challenge is tackled via an adversary-driven approach to improve wireless network security. The project's novelties are: (i) creating stronger, practical adversary models to understand the limitations of today's security designs of IoT systems leveraging the wireless channel properties and (ii) designing new defense strategies to further advance the state-of-the-art wireless network security designs. The project's broader significance and importance are advancing the state-of-the-art in network security, including undergraduate student training opportunities, openly disseminated training materials, and conducting outreach activities.This project creates new adversary-driven approaches targeting the three design aspects in existing studies: (i) leveraging the channel state information as a unique network profile, (ii) establishing a secret from the wireless channel, and (iii) hiding a secret using the wireless channel. Specifically, the project encompasses three research thrusts based on both system designs and practical evaluations: (i) creating new attacks against channel state information-based user or location profiling/verification and designing network countermeasures; (ii) formulating new adversary models and designing frameworks for wireless secret key establishment, and (iii) proposing new adversary-driven secure information exchange frameworks using the wireless channel. The project involves comprehensive evaluations based on real-world wireless experiments to validate and improve the proposed designs.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.
当今的许多无线设备都采用小规模、低成本设计,以满足物联网系统和应用的要求。因此,这些设备中的许多设备不能执行密码操作或者需要避免这样的操作以保存能量(例如,植入式医疗设备)。然而,这些设备通常处理敏感数据。一个重要的研究方向是通过利用无线网络中独特的无线信道特性,同时考虑正式的对手模型,创建高效,轻量级但安全的设计这样的设备。在这个项目中,这一挑战是通过一个对抗驱动的方法来解决,以提高无线网络的安全性。该项目的创新之处是:(i)创建更强大、实用的对手模型,以了解当今物联网系统利用无线信道特性的安全设计的局限性;(ii)设计新的防御策略,以进一步推进最先进的无线网络安全设计。该项目的更广泛的意义和重要性正在推进网络安全的最新技术,包括本科生培训机会,公开传播的培训材料,并进行推广活动。该项目创建了新的对抗驱动的方法,针对现有研究中的三个设计方面:(i)利用所述信道状态信息作为唯一网络简档,(ii)从所述无线信道建立秘密,以及(iii)使用所述无线信道隐藏秘密。具体而言,该项目包括三个研究重点的基础上,系统设计和实际评估:(一)创建新的攻击对信道状态信息为基础的用户或位置分析/验证和设计网络对策;(二)制定新的对手模型和设计框架的无线密钥建立,以及(三)提出新的对手驱动的安全信息交换框架使用无线信道。该项目包括基于真实世界无线实验的综合评估,以验证和改进拟议的设计。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
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)
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Zhuo Lu其他文献
A Proactive and Deceptive Perspective for Role Detection and Concealment in Wireless Networks
无线网络中角色检测和隐藏的主动和欺骗视角
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Zhuo Lu;Cliff X. Wang;Mingkui Wei - 通讯作者:
Mingkui Wei
Most Cited Computer Networks Articles
被引用最多的计算机网络文章
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Luigi Atzori;Antonio Iera;Giacomo Morabito;Michele Nitti;Wenye Wang;Zhuo Lu;M. Berman;Jeffrey S. Chase;Lawrence Landweber;Akihiro Nakao;Max Ott;Dipankar Raychaudhuri;Robert Ricci;I. Seskar;S. Sicari;A. Rizzardi;L. Grieco;A. Coen - 通讯作者:
A. Coen
Research on Recommendation System Based on Neural Network and Data Mining
基于神经网络和数据挖掘的推荐系统研究
- DOI:
10.1109/icmnwc60182.2023.10435664 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Zhuo Lu - 通讯作者:
Zhuo Lu
Research on Stock History Data Mining and Prediction Algorithm Based on Long Short-Term Memory Network
- DOI:
10.1109/icmnwc60182.2023.10435794 - 发表时间:
2023-12 - 期刊:
- 影响因子:0
- 作者:
Zhuo Lu - 通讯作者:
Zhuo Lu
Arbuscular mycorrhizal fungi: potential biocontrol agents against the damaging root hemiparasite Pedicularis kansuensis?
丛枝菌根真菌:对抗破坏性根部半寄生虫甘肃马先蒿的潜在生物防治剂?
- DOI:
10.1007/s00572-013-0528-5 - 发表时间:
2013-09 - 期刊:
- 影响因子:3.9
- 作者:
Sui Xiao-Lin;Li Ai-Rong;Chen Yan;Guan Kai-Yun;Zhuo Lu;Liu Yan-Yan - 通讯作者:
Liu Yan-Yan
Zhuo Lu的其他文献
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{{ truncateString('Zhuo Lu', 18)}}的其他基金
Collaborative Research: CCSS: Hierarchical Federated Learning over Highly-Dense and Overlapping NextG Wireless Deployments: Orchestrating Resources for Performance
协作研究:CCSS:高密度和重叠的 NextG 无线部署的分层联合学习:编排资源以提高性能
- 批准号:
2319781 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: Implementation: Medium: Secure, Resilient Cyber-Physical Energy System Workforce Pathways via Data-Centric, Hardware-in-the-Loop Training
协作研究:实施:中:通过以数据为中心的硬件在环培训实现安全、有弹性的网络物理能源系统劳动力路径
- 批准号:
2320973 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: EDU: A Comprehensive Training Program of AI for 5G and NextG Wireless Network Security
合作研究:SaTC:EDU:5G 和 NextG 无线网络安全人工智能综合培训项目
- 批准号:
2321270 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CAREER: Data-Driven Wireless Networking Designs for Efficiency and Security
职业:数据驱动的无线网络设计以提高效率和安全性
- 批准号:
2044516 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Collaborative Research: CyberTraining: Pilot: Interdisciplinary Training of Data-Centric Security and Resilience of Cyber-Physical Energy Infrastructures
合作研究:网络培训:试点:以数据为中心的网络物理能源基础设施安全性和弹性的跨学科培训
- 批准号:
2017194 - 财政年份:2020
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT: SMALL: Understanding and Combating Adversarial Spectrum Learning towards Spectrum-Efficient Wireless Networking
合作研究:SWIFT:SMALL:理解和对抗对抗性频谱学习以实现频谱高效的无线网络
- 批准号:
2029875 - 财政年份:2020
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Towards Secure and Reliable Network Tomography in Wireline and Wireless Networks
SaTC:核心:小型:在有线和无线网络中实现安全可靠的网络层析成像
- 批准号:
1717969 - 财政年份:2017
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CRII: NeTS: A Proactive Perspective on Preventing Network Inference: Shifting from Optimized to Dynamic Wireless Network Design
CRII:NeTS:防止网络推理的主动视角:从优化到动态无线网络设计的转变
- 批准号:
1701394 - 财政年份:2016
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
CRII: NeTS: A Proactive Perspective on Preventing Network Inference: Shifting from Optimized to Dynamic Wireless Network Design
CRII:NeTS:防止网络推理的主动视角:从优化到动态无线网络设计的转变
- 批准号:
1464114 - 财政年份:2015
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
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