RII Track-4: Photovoltaic Based Physically Unclonable Functions (PUFs) for Vehicular Security

RII Track-4:用于车辆安全的基于光伏的物理不可克隆功能 (PUF)

基本信息

项目摘要

Non-technical DescriptionToday's vehicles have approximately 100 million lines of computer code and 60 electronic control units (ECUs), as well as a wide range of computer-enabled technologies such as power and infotainment systems, remote locking and unlocking, remote engine start, etc. With plans underway to include vehicle-to-vehicle (V2V) communications technology in new vehicles, it is expected that there could be as many as 220 million connected cars globally by 2020. However, these embedded devices in vehicles are susceptible to malicious cyber-attacks, such as modifying the in-vehicle system infrastructure, stealing intellectual property (IP), and misusing the vehicle-to-vehicle communication. Fundamental advancements are needed at the hardware and software levels to create a more reliable vehicle security infrastructure. This research investigates the potential use of Physically Unclonable Functions (PUFs) as a hardware security approach to simplify or solve many important vehicular security problems, such as ECU piracy, ECU counterfeiting, secure authentication, and key management. Collaborators at the Oak Ridge National Laboratory (ORNL) have the needed expertise in PUFs, and the project will provide the PI with needed training and mentorship in this area. The proposed research could pave the way for the widespread use of photovoltaic-based PUFs to mitigate vehicle cybersecurity vulnerabilities and the impacts of potential attacks, thereby, increasing the public safety of American families and securing driver's personal data. In addition, the project will lead to a stronger research and education program in vehicular security at the University of Kentucky and the Commonwealth of Kentucky.Technical DescriptionThe project will provide the foundation for a long-term research program to design hardware security primitives based on intrinsic properties of existing vehicular hardware such as built-in sensors or devices. Building PUFs from existing vehicular hardware has the potential to mitigate cyber-threats in vehicles with minimal redesign costs and performance penalties. Photovoltaic (PV) devices have wide applications in vehicles such as ambient climate control, automatic headlights, to generate electricity in hybrid and electric vehicles, etc. Therefore, the PI plans to investigate new designs and prototypes of PV PUFs for vehicular security. The proposed research will provide a better understanding of the relationship between light intensity and output current in PV devices for the generation of PV PUFs. Novel methodologies and circuit architectures of PV-based PUFs will be designed, and the reliability of the proposed PUFs with respect to temperature variations and aging effects will be tested and evaluated under extreme meteorological test conditions. Simulation and prototyping of PV-based PUF circuits will test the PI's hypothesis that existing devices and sensors in vehicles can be used to mitigate the security threats. Intellectual products will be developed, such as novel circuit designs and architectures of PV-based PUFs, design flow of PV-based PUF generation, and specific PUF designs and prototypes.
非技术描述当今的车辆拥有约1亿行计算机代码和60个电子控制单元(ECU),以及广泛的计算机支持技术,例如动力和信息娱乐系统、远程锁定和解锁、远程发动机启动等。正在计划将车对车(V2 V)通信技术纳入新车,预计到2020年,全球联网汽车可能多达2.2亿辆。然而,这些车辆中的嵌入式设备容易受到恶意网络攻击,例如修改车载系统基础设施,窃取知识产权(IP)以及滥用车对车通信。需要在硬件和软件层面取得根本性的进步,以创建更可靠的车辆安全基础设施。本研究探讨了物理不可克隆功能(PUF)作为硬件安全方法的潜在用途,以简化或解决许多重要的车辆安全问题,如ECU盗版,ECU伪造,安全认证和密钥管理。橡树岭国家实验室(ORNL)的合作者拥有PUF方面所需的专业知识,该项目将为PI提供该领域所需的培训和指导。这项拟议的研究可以为广泛使用基于光子学的PUF铺平道路,以减轻车辆网络安全漏洞和潜在攻击的影响,从而提高美国家庭的公共安全并保护驾驶员的个人数据。此外,该项目将导致在肯塔基州和肯塔基州的联邦大学的车辆安全更强的研究和教育计划。技术说明该项目将提供一个长期的研究计划,设计硬件安全原语的基础上,现有的车辆硬件,如内置的传感器或设备的内在属性。从现有的车辆硬件构建PUF有可能以最小的重新设计成本和性能损失来减轻车辆中的网络威胁。光伏(PV)器件在车辆中有广泛的应用,例如环境气候控制、自动前灯、混合动力和电动汽车发电等。拟议的研究将提供一个更好的理解光强度和输出电流之间的关系,在光伏器件的光伏PUF的产生。将设计基于PV的PUF的新方法和电路架构,并且将在极端气象测试条件下测试和评估所提出的PUF相对于温度变化和老化影响的可靠性。基于PV的PUF电路的仿真和原型设计将测试PI的假设,即车辆中的现有设备和传感器可以用于减轻安全威胁。将开发智能产品,例如基于PV的PUF的新颖电路设计和架构,基于PV的PUF生成的设计流程,以及特定的PUF设计和原型。

项目成果

期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An Integrated TRNG-PUF Architecture Based on Photovoltaic Solar Cells
  • DOI:
    10.1109/mce.2020.3019762
  • 发表时间:
    2021-07-01
  • 期刊:
  • 影响因子:
    4.5
  • 作者:
    Degada, Amit;Thapliyal, Himanshu
  • 通讯作者:
    Thapliyal, Himanshu
Exploration of Solar Cell Materials for Developing Novel PUFs in Cyber-Physical Systems
探索用于在网络物理系统中开发新型 PUF 的太阳能电池材料
  • DOI:
    10.1007/s42979-020-00331-8
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Labrado, Carson;Kumar, S. Dinesh;Badhan, Riasad;Thapliyal, Himanshu;Singh, Vijay
  • 通讯作者:
    Singh, Vijay
Design of a Piezoelectric-Based Physically Unclonable Function for IoT Security
  • DOI:
    10.1109/jiot.2018.2874626
  • 发表时间:
    2019-04
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Carson Labrado;H. Thapliyal
  • 通讯作者:
    Carson Labrado;H. Thapliyal
Hardware Security Primitives for Vehicles
  • DOI:
    10.1109/mce.2019.2941392
  • 发表时间:
    2019-11
  • 期刊:
  • 影响因子:
    4.5
  • 作者:
    Carson Labrado;H. Thapliyal
  • 通讯作者:
    Carson Labrado;H. Thapliyal
A PUF Based CAN Security Framework
基于PUF的CAN安全框架
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Himanshu Thapliyal其他文献

TSV defects and TSV-induced circuit failures: The third dimension in test and design-for-test
TSV 缺陷和 TSV 引起的电路故障:测试和测试设计的第三个维度
Novel Optimized Designs of Modulo $2n+1$ Adder for Quantum Computing
用于量子计算的 Modulo $2n 1$ 加法器的新颖优化设计
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bhaskar Gaur;Himanshu Thapliyal
  • 通讯作者:
    Himanshu Thapliyal
Low-Power Adiabatic/MTJ LIM-Based XNOR/XOR Synapse and Neuron for Binarized Neural Networks
用于二值化神经网络的基于低功耗绝热/MTJ LIM 的 XNOR/XOR 突触和神经元
Residue Number System (RNS) based Distributed Quantum Addition
基于残基编号系统 (RNS) 的分布式量子加法
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bhaskar Gaur;Travis S. Humble;Himanshu Thapliyal
  • 通讯作者:
    Himanshu Thapliyal
TDAG: Tree-based Directed Acyclic Graph Partitioning for Quantum Circuits
TDAG:量子电路的基于树的有向无环图分区

Himanshu Thapliyal的其他文献

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{{ truncateString('Himanshu Thapliyal', 18)}}的其他基金

CAREER: Utilizing Principles of Energy Recovery Computing for Low-Energy and DPA-Resistant IoT Devices
职业:利用能量回收计算原理实现低能耗和抗 DPA 的物联网设备
  • 批准号:
    2232235
  • 财政年份:
    2021
  • 资助金额:
    $ 20.62万
  • 项目类别:
    Continuing Grant
CAREER: Utilizing Principles of Energy Recovery Computing for Low-Energy and DPA-Resistant IoT Devices
职业:利用能量回收计算原理实现低能耗和抗 DPA 的物联网设备
  • 批准号:
    1845448
  • 财政年份:
    2019
  • 资助金额:
    $ 20.62万
  • 项目类别:
    Continuing Grant

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