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SaTC: STARSS: Design of Secure and Anti-Counterfeit Integrated Circuits

SaTC: STARSS: Design of Secure and Anti-Counterfeit Integrated Circuits
SaTC:STARSS:安全防伪集成电路设计
批准号:
1441639
负责人:
Keshab Parhi
金额:
$33.3万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-10-01 至 2018-09-30

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中文摘要
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英文摘要
Hardware security, whether for attack or defense, differs from software, network, and data security in that attackers may find ways to physically tamper with devices without leaving a trace, and mislead the user to believe that the hardware is authentic and trustworthy. Furthermore, the advent of new attack modes, illegal recycling, and hard-to-detect Trojans make hardware protection an increasingly challenging task. Design of secure hardware integrated circuits requires novel approaches for authentication that are ideally based on multiple layers of protection. This project develops a novel framework for embedding heterogeneity and hierarchy in security and obfuscation at multiple layers into the design of integrated circuits. The project uses a combination of server-based global authentication combined with local authentication of components from third-party vendors reduces communication with the server, thus reducing the communication overhead as well as error in authentication. The investigators explore new approaches to increasing robustness of SRAM based physical unclonable functions (PUFs) by intentional voltage stress, and the tradeoffs in hierarchies of authentication. The project investigates techniques for obfuscation based on modifications of finite state machine (FSM) state transition graphs, and obfuscation metrics that are developed and validated using data collected from test chips.
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Collaborative Research: SHF: Small: Efficient and Scalable Privacy-Preserving Neural Network Inference based on Ciphertext-Ciphertext Fully Homomorphic Encryption
  • 批准号:
    2243053
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.5万
  • 财政年份:
    2023
  • 负责人:
    Keshab Parhi
  • 依托单位:
Collaborative Research: SHF: Medium: TensorNN: An Algorithm and Hardware Co-design Framework for On-device Deep Neural Network Learning using Low-rank Tensors
  • 批准号:
    1954749
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2020
  • 负责人:
    Keshab Parhi
  • 依托单位:
SHF: Small: Collaborative Research: LDPD-Net: A Framework for Accelerated Architectures for Low-Density Permuted-Diagonal Deep Neural Networks
  • 批准号:
    1814759
  • 项目类别:
    Standard Grant
  • 资助金额:
    $27.5万
  • 财政年份:
    2018
  • 负责人:
    Keshab Parhi
  • 依托单位:
EAGER: Low-Energy Architectures for Machine Learning
  • 批准号:
    1749494
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.5万
  • 财政年份:
    2017
  • 负责人:
    Keshab Parhi
  • 依托单位:
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