Encrypted control for privacy-preserving and secure cyber-physical systems

隐私保护和安全网络物理系统的加密控制

基本信息

  • 批准号:
    1912702
  • 负责人:
  • 金额:
    $ 38万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-15 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

Driven by advances in cloud computing and wireless communications, many control systems are increasingly integrated with sensing, communication, and computing devices, leading to the so-called cyber-physical systems (CPS). Typical examples of CPS include critical water, gas, and power infrastructures, swarm robotics, and vehicle platoons. Those control systems usually have their feedback control loops closed via communication networks, leading to critical privacy and security challenges due to the vulnerability of (shared) communication networks. In fact, concerns on security and particularly privacy have spurred various legislative polices and recommendations for many privacy-and-security critical CPS like smart grids and intelligent transportation systems. For example, the National Highway Traffic Safety Administration has required that privacy issues must be addressed when implementing vehicle-to-vehicle communications, and privacy measures must be undertaken to prevent individuals from being tracked in location. Although researchers in the control community and the computer science community have proposed several technological solutions to enhance the privacy and security of CPS, existing approaches fail to combine and synergize control-theoretical approaches with conventional information technology solutions like encryption, which significantly restricts the overall achievable strength and scope in protecting the privacy and security of CPS.This proposal seeks to provide an encrypted control approach for CPS privacy-and-security protection by seamlessly integrating control and encryption. The integration creates tremendous synergy and enables new capabilities: not only does it enable decentralized privacy-and-security protection without any data aggregator or third-party, it also avoids compromising accuracy, a typical problem with differential-privacy based privacy-protection approaches. Furthermore, the seamless integration guarantees low computational complexity as well. The project will: i) develop an encrypted control framework and corresponding theories for cloud-based control to protect privacy with guaranteed stability despite encryption-induced representation errors; ii) under the encrypted control framework, develop new verification mechanisms to combat integrity attacks on both communication links and shared computing platforms such as the cloud; iii) extend the encrypted control to completely decentralized multi-agent settings without any data aggregator or third-party; and iv) systematically validate the approach using a multi-robot platform. The proposed research will provide privacy-and-security protection for general CPS such as smart grids and connected vehicles, in which privacy and security are crucial. It is also expected to impact many other critical infrastructures such as water and wastewater systems where control over communication networks is becoming the norm. The project will significantly enrich existing graduate/undergraduate courses in cryptography and control, which the PIs regularly teach. It will also directly address the underrepresentation of ethnic groups and women in science and engineering through leveraging scheduled training activities under an existing NSF RTG grant as well as through ongoing outreach activities to minority middle-school girls under the Clemson WISE (Women in Science and Engineering) program.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.
在云计算和无线通信的推动下,许多控制系统越来越多地与传感、通信和计算设备集成在一起,从而产生了所谓的网络物理系统(CPS)。CPS的典型例子包括关键的水、天然气和电力基础设施、群体机器人和车辆排。这些控制系统通常通过通信网络关闭其反馈控制环路,由于(共享的)通信网络的脆弱性,导致严重的隐私和安全挑战。事实上,对安全的担忧,特别是对隐私的担忧,促使人们为智能电网和智能交通系统等许多对隐私和安全至关重要的CP制定了各种立法政策和建议。例如,美国国家公路交通安全管理局要求,在实施车对车通信时,必须解决隐私问题,并且必须采取隐私措施,以防止个人在地点被跟踪。虽然控制界和计算机科学界的研究人员已经提出了几种增强CP隐私和安全的技术解决方案,但现有的方法未能将控制理论方法与加密等传统信息技术解决方案结合和协同,这严重制约了CP隐私和安全保护的整体可实现的力度和范围。这种集成产生了巨大的协同效应,并实现了新的功能:它不仅可以在没有任何数据聚合器或第三方的情况下实现分散的隐私和安全保护,还可以避免影响准确性,这是基于差异隐私的隐私保护方法的典型问题。此外,无缝集成还保证了较低的计算复杂度。该项目将:i)开发基于云的加密控制框架和相应的理论,以保护隐私,尽管加密导致表示错误,但仍保证稳定性;ii)在加密控制框架下,开发新的验证机制,以对抗通信链路和共享计算平台(如云)上的完整性攻击;iii)将加密控制扩展到完全分散的多智能体环境,而无需任何数据聚合器或第三方;以及iv)使用多机器人平台系统地验证该方法。拟议的研究将为智能电网和联网车辆等一般CP提供隐私和安全保护,其中隐私和安全至关重要。预计它还将影响许多其他关键基础设施,如水和废水系统,在这些地方,对通信网络的控制正在成为常态。该项目将极大地丰富现有的密码学和控制方面的研究生/本科生课程,这些课程是私人投资机构定期教授的。它还将通过利用现有NSF RTG赠款下的预定培训活动以及克莱姆森WISE(女性参与科学和工程)计划下针对少数族裔中学女孩的持续外展活动,直接解决少数民族和妇女在科学和工程领域代表性不足的问题。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势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(14)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Distributed Optimization with Noisy Information Sharing
A Robust Dynamic Average Consensus Algorithm that Ensures both Differential Privacy and Accurate Convergence
Differentially-private Distributed Algorithms for Aggregative Games with Guaranteed Convergence
保证收敛的聚合博弈的差分私有分布式算法
Differentially-Private Distributed Optimization with Guaranteed Optimality
Algorithm-Level Confidentiality for Average Consensus on Time-Varying Directed Graphs
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Yongqiang Wang其他文献

Gold-Catalyzed Cyclization/Hydroboration of 1,6-Enynes: Synthesis of Bicyclo[3.1.0]hexane Boranes
金催化 1,6-烯炔的环化/硼氢化:双环[3.1.0]己烷硼烷的合成
  • DOI:
    10.1021/acs.orglett.2c03812
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Guanghui Wang;Yongqiang Wang;Zengzeng Li;Haotian Li;Mingwu Yu;Maofu Pang;Ximei Zhao
  • 通讯作者:
    Ximei Zhao
A Compact SISL Balun Using Compensated Interdigital Capacitor
使用补偿叉指电容器的紧凑型 SISL 巴伦
Embryonic and larval development in barfin flounder Verasper moseri (Jordan and Gilbert)
条鳍鲽 Verasper moseri 的胚胎和幼体发育(Jordan 和 Gilbert)
  • DOI:
    10.1007/s00343-010-9251-7
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rongbin Du;Yongqiang Wang;Haibin Jiang;Liming Liu;Maojian Wang;Tianbao Li;Shubao Zhang
  • 通讯作者:
    Shubao Zhang
Effect of nonmagnetic substitution on the magnetic correlation of the frustrated Ca3CoMn1-xGaxO6 (0≤x≤0.2)
非磁性取代对受挫Ca3CoMn1-xGaxO6 (0≤x≤0.2)磁相关性的影响
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Gaoshang Gong;Chenfei Shi;Jinjin Guo;Gebru Zerihun;Yongqiang Wang;Yang Qiu;Yuling Su
  • 通讯作者:
    Yuling Su
Reversal and non-reversal ferroelectric polarizations in a Y-type hexaferrite
Y 型六角形铁氧体中的反转和非反转铁电极化
  • DOI:
    10.1039/c8tc05247f
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Yongqiang Wang;Shile Zhang;W. K. Zhu;Langsheng Ling;Lei Zhang;Zhe Qu;Li Pi;Wei Tong;Mingliang Tian
  • 通讯作者:
    Mingliang Tian

Yongqiang Wang的其他文献

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{{ truncateString('Yongqiang Wang', 18)}}的其他基金

CIF: Small: Ensuring Accuracy in Differentially Private Decentralized Optimization
CIF:小:确保差分隐私去中心化优化的准确性
  • 批准号:
    2334449
  • 财政年份:
    2024
  • 资助金额:
    $ 38万
  • 项目类别:
    Standard Grant
FRR: Collaborative Research: Collaborative Learning for Multi-robot Systems with Model-enabled Privacy Protection and Safety Supervision
FRR:协作研究:具有模型支持的隐私保护和安全监督的多机器人系统协作学习
  • 批准号:
    2219487
  • 财政年份:
    2022
  • 资助金额:
    $ 38万
  • 项目类别:
    Standard Grant
CIF: Small: Deep Stochasticity for Private Collaborative Deep Learning
CIF:小:私人协作深度学习的深度随机性
  • 批准号:
    2215088
  • 财政年份:
    2022
  • 资助金额:
    $ 38万
  • 项目类别:
    Standard Grant
Collaborative Research: CIF: Medium: Harnessing Intrinsic Dynamics for Inherently Privacy-preserving Decentralized Optimization
合作研究:CIF:中:利用内在动力学实现固有隐私保护的去中心化优化
  • 批准号:
    2106293
  • 财政年份:
    2021
  • 资助金额:
    $ 38万
  • 项目类别:
    Continuing Grant
EAGER: Control Theory for Real-time Privacy-preserving Consensus Control of Engineering Networks
EAGER:工程网络实时隐私保护共识控制的控制理论
  • 批准号:
    1824014
  • 财政年份:
    2018
  • 资助金额:
    $ 38万
  • 项目类别:
    Standard Grant
CICI: RSARC: Secure Time for Cyberinfrastructure Security
CICI:RSARC:网络基础设施安全的安全时间
  • 批准号:
    1738902
  • 财政年份:
    2017
  • 资助金额:
    $ 38万
  • 项目类别:
    Standard Grant
STTR Phase I: Eco-Friendly Mass Production of Highly Conductive Graphene Sheets with Controlled Structures
STTR第一阶段:结构可控的高导电石墨烯片的环保大规模生产
  • 批准号:
    1346496
  • 财政年份:
    2014
  • 资助金额:
    $ 38万
  • 项目类别:
    Standard Grant
STTR Phase I: Surface- and Structural Engineering of Colloidal Quantum Dots Towards Efficient and
STTR 第一阶段:胶体量子点的表面和结构工程,以实现高效和
  • 批准号:
    1010491
  • 财政年份:
    2010
  • 资助金额:
    $ 38万
  • 项目类别:
    Standard Grant
STTR Phase I: Magnetic Nanoparticle Microfluidics for High Efficient Capture, Separation and Concetration of Foodborne Pathogens
STTR 第一阶段:用于高效捕获、分离和浓缩食源性病原体的磁性纳米颗粒微流体
  • 批准号:
    0810626
  • 财政年份:
    2008
  • 资助金额:
    $ 38万
  • 项目类别:
    Standard Grant
SBIR Phase II: Development of Cadmium-Free, Water-Soluble and Multicolor Quantum Dots by Chemical Doping
SBIR 第二阶段:通过化学掺杂开发无镉、水溶性和多色量子点
  • 批准号:
    0823040
  • 财政年份:
    2008
  • 资助金额:
    $ 38万
  • 项目类别:
    Standard Grant

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