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

基本信息

项目摘要

This project will develop circuit design techniques for energy-recovery circuits and a library of such design cells to facilitate low-power implementation of block cipher for mobile Internet-of-Things (IoT) devices, where reducing power consumption is critical. The design challenge is to produce low-energy, lightweight, and secure devices, which are also resistant against malicious attacks that use power consumption traces to extract private or sensitive information. This project will provide a set of energy recovery (ER) principles for low-energy and differential power analysis (DPA)-resistant IoT devices. The research objectives are: (i) to investigate information leakage in ER circuits and propose mitigation methodologies; (ii) to investigate and develop a low-energy and DPA-resistant ER standard cell library and semi-custom design flow for lightweight cryptographic circuits; and (iii) to investigate and develop power clock generation and distribution, and silicon prototyping to evaluate energy dissipation and the DPA-resistance of ER-based crypto circuits. Outcomes and results from this project should make a strong case for industry adoption of ER computing for the design of low-energy and secure IoT devices. Another integral goal of this project is to broaden graduate, undergraduate, and minority and underrepresented participation in cyber and hardware security research and education. The project will develop new courses in hardware security for undergraduate and graduate students, and conduct workshops. Internships on hardware security will be offered to Appalachian high-school students and historically underrepresented minorities, and first-generation students. The project repository will be stored electronically and made available through the website hosted by University of Kentucky, College of Engineering (http://hthapliyal.engineering.uky.edu/). The data will be retained for at least three years beyond the duration of the award.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.
该项目将开发用于能量回收电路的电路设计技术和此类设计单元库,以促进用于移动的物联网(IoT)设备的分组密码的低功耗实现,其中降低功耗至关重要。设计挑战是生产低能耗、轻量化和安全的设备,这些设备还可以抵抗使用功耗跟踪来提取私人或敏感信息的恶意攻击。 该项目将为低能耗和抗差分功率分析(DPA)的物联网设备提供一套能量回收(ER)原则。研究目标是:(i)研究ER电路中的信息泄漏并提出缓解方法;(ii)研究和开发低能量和抗DPA的ER标准单元库以及用于轻量级密码电路的半定制设计流程;以及(iii)研究和开发功率时钟生成和分配以及硅原型,以评估基于ER的密码电路的能量耗散和抗DPA。该项目的成果和结果应该为行业采用ER计算来设计低能耗和安全的物联网设备提供有力的支持。该项目的另一个整体目标是扩大研究生,本科生,少数民族和代表性不足的参与网络和硬件安全研究和教育。该项目将为本科生和研究生开发硬件安全方面的新课程,并举办讲习班。硬件安全实习将提供给阿巴拉契亚高中学生和历史上代表性不足的少数民族,以及第一代学生。项目资料库将以电子方式储存,并通过肯塔基州大学工程学院主办的网站(http://hthaplyal.engineering.uky.edu/)提供。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(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Approximate Adiabatic Logic for Low-Power and Secure Edge Computing
用于低功耗和安全边缘计算的近似绝热逻辑
  • DOI:
    10.1109/mce.2021.3053908
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    4.5
  • 作者:
    Yang, Wu;Thapliyal, Himanshu
  • 通讯作者:
    Thapliyal, Himanshu
2-SPGAL: 2-Phase Symmetric Pass Gate Adiabatic Logic for Energy-Efficient Secure Consumer IoT
2-SPGAL:用于节能安全消费物联网的两相对称通门绝热逻辑
Design of Adiabatic Logic-Based Energy-Efficient and Reliable PUF for IoT Devices
2-Phase Energy-Efficient Secure Positive Feedback Adiabatic Logic for CPA-Resistant IoT Devices
适用于耐 CPA 物联网设备的两相节能安全正反馈绝热逻辑
2-Phase Adiabatic Logic For Low-Energy and CPA-Resistant Implantable Medical Devices
适用于低能量和耐 CPA 植入式医疗设备的两相绝热逻辑
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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
CASD-OA: Context-Aware Stress Detection for Older Adults with Machine Learning and Cortisol Biomarker
CASD-OA:利用机器学习和皮质醇生物标记物对老年人进行情境感知压力检测

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:
    $ 56.8万
  • 项目类别:
    Continuing Grant
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)
  • 批准号:
    1738662
  • 财政年份:
    2017
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Standard Grant

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Utilizing Wrap Around Mentorship and Virtual Reality to Prepare and Sustain STEM Teachers in Rural High-Need Schools
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Field-based Undergraduate Training: Utilizing Research for Equity (FUTURE) in Biology
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  • 批准号:
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  • 财政年份:
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  • 项目类别:
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