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

  • 批准号:
    2232235
  • 负责人:
  • 金额:
    $ 56.8万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-12-15 至 2025-06-30
  • 项目状态:
    未结题

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.
该项目将开发能量回收电路的电路设计技术和此类设计单元库,以促进移动物联网(IoT)设备的分组密码的低功耗实施,其中降低功耗至关重要。设计的挑战是生产低能耗、轻量级和安全的设备,这些设备还可以抵御恶意攻击,这些恶意攻击使用功耗跟踪来提取私人或敏感信息。该项目将为低能耗和抗差分功耗分析(DPA)的物联网设备提供一套能量回收(ER)原则。研究的目标是:(I)研究电流变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标准单元库和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产生和分布以及硅原型以评估基于ER的密码电路的能量消耗和抗DPA能力。该项目的结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强有力的理由。该项目的另一个不可或缺的目标是扩大研究生、本科生以及少数族裔和代表性不足的人在网络和硬件安全研究和教育方面的参与。该项目将为本科生和研究生开发新的硬件安全课程,并举办研讨会。硬件安全方面的实习将提供给阿巴拉契亚的高中生和历史上代表性不足的少数民族,以及第一代学生。项目库将以电子方式存储,并通过肯塔基大学工程学院(http://hthapliyal.engineering.uky.edu/).)托管的网站提供这些数据将在获奖期限后至少保留三年。这一奖项反映了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(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Adiabatic/MTJ-Based Physically Unclonable Function for Consumer Electronics Security
  • DOI:
    10.1109/tce.2022.3201247
  • 发表时间:
    2023-02-01
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Kahleifeh,Zachary;Thapliyal,Himanshu;Alam,Syed M.
  • 通讯作者:
    Alam,Syed M.
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

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

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ 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:
    1845448
  • 财政年份:
    2019
  • 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

相似海外基金

NSF Engines Development Award: Utilizing space research, development and manufacturing to improve the human condition (OH)
NSF 发动机发展奖:利用太空研究、开发和制造来改善人类状况(OH)
  • 批准号:
    2314750
  • 财政年份:
    2024
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Cooperative Agreement
CAS: Optimization of CO2 to Methanol Production through Rapid Nanoparticle Synthesis Utilizing MOF Thin Films and Mechanistic Studies.
CAS:利用 MOF 薄膜和机理研究,通过快速纳米粒子合成优化 CO2 生产甲醇。
  • 批准号:
    2349338
  • 财政年份:
    2024
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Continuing Grant
Utilizing Wrap Around Mentorship and Virtual Reality to Prepare and Sustain STEM Teachers in Rural High-Need Schools
利用环绕式指导和虚拟现实来培养和维持农村高需求学校的 STEM 教师
  • 批准号:
    2344941
  • 财政年份:
    2024
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Continuing Grant
Utilizing Interactive Videos to Assist Self and Peer Assessment of Students' Speaking
利用互动视频辅助学生口语自评和互评
  • 批准号:
    24K16138
  • 财政年份:
    2024
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Application of the virus-like particle (VLP) technology in the development of anti-tick vaccine, utilizing novel salivary proteins from Haemaphysalis longicornis ticks.
利用长角血蜱的新型唾液蛋白,应用病毒样颗粒(VLP)技术开发抗蜱疫苗。
  • 批准号:
    24K18027
  • 财政年份:
    2024
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Utilizing Lego Serious Play (LSP) to aid Japanese Tertiary Students in the enhancement of Intercultural Literacy and Identity Formation fostering Modern Employability Skills
利用乐高严肃游戏(LSP)帮助日本大学生提高跨文化素养和身份形成,培养现代就业技能
  • 批准号:
    24K05636
  • 财政年份:
    2024
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
CAREER: Understanding and Directing Selectivity in Functionalizations of Strong Covalent Bonds Utilizing Coordination-Sphere Effects
职业:利用配位球效应理解和指导强共价键官能化的选择性
  • 批准号:
    2338438
  • 财政年份:
    2024
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Continuing Grant
CAREER: Strengthening the Theoretical Foundations of Federated Learning: Utilizing Underlying Data Statistics in Mitigating Heterogeneity and Client Faults
职业:加强联邦学习的理论基础:利用底层数据统计来减轻异构性和客户端故障
  • 批准号:
    2340482
  • 财政年份:
    2024
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Continuing Grant
Field-based Undergraduate Training: Utilizing Research for Equity (FUTURE) in Biology
实地本科生培训:利用生物学研究实现公平(未来)
  • 批准号:
    2329523
  • 财政年份:
    2024
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Standard Grant
Pharmacokinetic analysis of antibody drug conjugate in tumor cells utilizing synchrotron soft X-ray imaging
利用同步加速器软 X 射线成像对肿瘤细胞中抗体药物偶联物进行药代动力学分析
  • 批准号:
    23H03716
  • 财政年份:
    2023
  • 资助金额:
    $ 56.8万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了