课题基金 / 基金详情

MRI: Development of a Testbed for Side Channel Analysis and Security Evaluation (TeSCASE)

MRI: Development of a Testbed for Side Channel Analysis and Security Evaluation (TeSCASE)
MRI:开发侧通道分析和安全评估测试台 (TeSCASE)
批准号:
1337854
负责人:
Yunsi Fei
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-10-01 至 2018-09-30

项目摘要

项目成果

Yunsi Fei的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Proposal #: 13-37854PI(s): Fei, Yunsi; Kaeli, David R.; Leeser, Miriam E.Institution: Northeastern University Title: MRI/Dev.: A Testbed for Side Channel Analysis and Security Evaluation (TeSCASE)Project Proposed:This project, developing a common free testbed, called TeSCASE, for side-channel analysis and security evaluation of cryptosystems, targets research and development in hardware security. The instrument under development, consisting of two platforms for hardware and software, fulfills the following objectives:- Holistic testbed: For side-channel leakage acquisition, TeSCASE provides both hardware measurement setup on real systems and a set of tools and methodologies for evaluating system specifications at different levels. (Most existing tools target hardware and not the design.)- Comprehensive attack library: The development includes various attacks (power analysis, timing-based, electro-magnetic emanation, and fault analysis) to evaluate the vulnerability/resilience of a target system. - General compatibility: TeSCASE includes measuring interfaces for different devices and consequently can be adapted in diverse application domains.- Open source: Facilitating research proliferation, the instrument results will be made open to the public.Analyzing side-channel information and exploiting it in side-channel attacks is expected to contribute in the understanding of the design, implementation, and new countermeasures. The work facilitates research on developing provable (side-channel analysis) SCA-resilient cryptographic systems that could lead to discoveries and inventions in multiple aspects of hardware security, fundamental side-channel analysis modeling, effective countermeasures, leakage-resilient cryptography, and fields products in security evaluation. This work develops an open holistic testbed for analyzing a system?s side-channel leakage and hardware security. While the testbed hardware platform services various side-channel leakage acquisitions, the software platform controls the hardware interface, simulates designs at different levels, estimates side-channel leakage, analyzes the leaked information, and evaluates hardware security with multiple metrics. The side channel analysis library provides a suite of known side-channel attacks and countermeasures.Broader Impacts:This development project could lead to the formulation of test metrics and evaluation standards. TeSCASE can be incorporated into the design process opening opportunities for exploring security countermeasures early in the design process. In addition to the contribution in research, the instrument might aid the semiconductor business and the government. On the educational side, a new graduate level course and an undergraduate-level lab should raise awareness of the need for security in the design and implementation of computing systems, consequently enabling the training of students with adequate hardware security knowledge and skills. TrustHub and cybersecurity competitions will help to disseminate the results. TeSCASE will be evaluated with selected applications on realistic devices and systems. Furthermore, the project seeks women and minority groups.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
EAGER: Side Channels Go Deep - Leveraging Deep Learning for Side-channel Analysis and Protection
  • 批准号:
    2212010
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2022
  • 负责人:
    Yunsi Fei
  • 依托单位:
SaTC: CORE: Medium: Protecting Confidentiality and Integrity of Deep Neural Networks against Side-Channel and Fault Attacks
  • 批准号:
    1929300
  • 项目类别:
    Standard Grant
  • 资助金额:
    $120.0万
  • 财政年份:
    2019
  • 负责人:
    Yunsi Fei
  • 依托单位:
Phase I IUCRC Northeastern University: Center for Hardware and Embedded System Security and Trust (CHEST)
  • 批准号:
    1916762
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $75.0万
  • 财政年份:
    2019
  • 负责人:
    Yunsi Fei
  • 依托单位:
Planning IUCRC Northeastern University: Center for Hardware and Embedded System Security and Trust (CHEST)
  • 批准号:
    1747748
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.5万
  • 财政年份:
    2018
  • 负责人:
    Yunsi Fei
  • 依托单位:
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: