Phase I IUCRC Northeastern University: Center for Hardware and Embedded System Security and Trust (CHEST)
Phase I IUCRC Northeastern University: Center for Hardware and Embedded System Security and Trust (CHEST)
批准号:
1916762
负责人:
Yunsi Fei
金额:
$75.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-09-15 至 2025-08-31
中文摘要
硬件和嵌入式系统安全与信任中心(ROST)协调基于大学的研究与行业和政府合作伙伴的需求,以促进电子硬件和嵌入式系统的安全、保证和信任方面的知识。ROST的兴趣包括识别、检测、监控、缓解和消除影响硬件和嵌入式系统的漏洞。该中心针对设计、运营、制造、供应链以及将硬件、软件和固件集成到各种系统中的一系列攻击媒介。该中心正在向利益相关者发明和传播技术、实践和指导方针,并培养下一代专家。NSF胸科中心致力于解决以下几个层面的安全、保证和信任问题:大规模系统、嵌入式系统、设计和运营、要求、标准、制造、供应链以及集成电路和电路板。在这些大学中,东北大学(NU)在设计、缓解和保护硬件和嵌入式系统免受体系结构和嵌入式设备层面的恶意攻击方面发挥了带头作用。主题包括:(I)平衡CPU和加速器上的性能和信息安全的全新安全体系结构;(Ii)物联网边缘安全的轻量级硬件原语;以及(Iii)在对手攻击下边缘计算的深度学习系统的强化技术。集成的网络-物理系统的安全、保证和信任能够满足人类的基本需求,同时支持国家更广泛的社会、环境和经济进步。系统吸收破坏性冲击并以最小损失恢复的能力是保护人类生命和财产的关键。NSF胸部中心影响着行业、政府和军方在设计、保护和应对与硬件和嵌入式系统相关的漏洞方面的实践。改善保证和信任有助于降低不良事件的频率和严重性,并关注系统任务、性能、进度和成本。NSF胸部中心网站www.nsfchest.org是所有可公开访问的数据、代码、结果等的存储库。只要胸部中心处于活动状态,这些页面将至少保持不变。此外,NU领导的所有胸科项目都以数字格式永久保存在NU文件服务器上,并为设备故障时的备份和恢复提供了充足的准备。所有存档的NU计算机和服务器都定期备份。该奖项反映了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。
英文摘要
The Center for Hardware and Embedded Systems Security and Trust (CHEST) coordinates university-based research with needs of industry and government partners to advance knowledge of security, assurance, and trust for electronic hardware and embedded systems. Interests of CHEST include identification, detection, monitoring, mitigation, and elimination of vulnerabilities that affect hardware and embedded systems. The CHEST Center addresses a range of attack vectors across design, operation, manufacturing, supply chains, and integration of the hardware, software, and firmware to a variety of systems. The Center is inventing and disseminating technologies, practices, and guidelines to stakeholders and educating a next generation of experts.The NSF CHEST Center addresses security, assurance, and trust across several levels: Large-scale systems, embedded systems, design and operations, requirements, standards, manufacturing, supply chains, and integrated circuits and boards. Among the universities, the Northeastern University (NU) leads CHEST efforts for designing, mitigating, and protecting hardware and embedded systems against malicious attacks at the levels of architecture and embedded devices. Topics include: (i) clean-slate secure architecture to balance performance and information security on CPUs and accelerators; (ii) lightweight hardware primitives for security at the edge of Internet-of-Things; and (iii) hardening techniques for deep learning systems on edge computing under adversarial attacks.Security, assurance, and trust of integrated cyber-physical systems enable meeting fundamental human needs, along with supporting broader social, environmental, and economic progress of the nation. The ability of systems to absorb disruptive shocks and recover with minimal loss is key to protecting human lives and property. The NSF CHEST Center influences the practices of industry, government, and the military in design, protection, and resilience to vulnerabilities associated with hardware and embedded systems. Improving assurance and trust contributes to the reducing the frequencies and severities of adverse events with attention to system missions, performance, schedule, and cost.The NSF CHEST Center website, www.nsfchest.org, is the repository for all publicly accessible data, code, results, etc. These pages will be maintained for at least as long as the CHEST Center is active. In addition, all CHEST projects that are led by NU are permanently archived in digital format on the NU file servers with sufficient provisions for backup and recovery in case of equipment failure. All archival NU computers and servers are backed up on a regular basis.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.
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Large Delay Analog Trojans: A Silent Fabrication-Time Attack Exploiting Analog Modalities
大延迟模拟木马:利用模拟模式的无声制造时间攻击
DOI:
10.1109/tvlsi.2020.3034878
发表时间:
2021
期刊:
IEEE Transactions on Very Large Scale Integration (VLSI
影响因子:
--
作者:
[Yang, Tiancheng, Mittal, Ankit, Fei, Yunsi, Shrivastava, Aatmesh]
通讯作者:
Shrivastava, Aatmesh
RISC-V Microarchitecture Simulation State Enumeration
RISC-V 微架构仿真状态枚举
DOI:
--
发表时间:
2021
期刊:
Fifth Workshop on Computer Architecture Research with RISC-V (CARRV 2021
影响因子:
--
作者:
[Griffin Knipe, Derek Rodriguez]
通讯作者:
Griffin Knipe, Derek Rodriguez
A Cross-Platform Cache Timing Attack Framework via Deep Learning
基于深度学习的跨平台缓存定时攻击框架
DOI:
10.23919/date54114.2022.9774612
发表时间:
2022
期刊:
IEEE Design Automation and Test in Europe 2-22
影响因子:
--
作者:
[Ding, Ruyi, Zhang, Ziyue, Zhang, Xiang, Gongye, Cheng, Fei, Yunsi, Ding, Aidong A.]
通讯作者:
Ding, Aidong A.
Secure Speculative Execution via RISC-V Open Hardware Design
通过 RISC-V 开放硬件设计实现安全推测执行
DOI:
--
发表时间:
2021
期刊:
Fifth Workshop on Computer Architecture Research with RISC-V (CARRV 2021
影响因子:
--
作者:
[Majid Sabbagh, Yunsi Fei]
通讯作者:
Majid Sabbagh, Yunsi Fei
DOI:
10.1109/seed55351.2022.00013
发表时间:
2022-09
期刊:
2022 IEEE International Symposium on Secure and Private Execution Environment Design (SEED)
影响因子:
--
作者:
[Kaustubh Shivdikar;Gilbert Jonatan;Evelio Mora;Neal Livesay;R. Agrawal;Ajay Joshi;José L. Abellán;John Kim;D. Kaeli]
通讯作者:
Kaustubh Shivdikar;Gilbert Jonatan;Evelio Mora;Neal Livesay;R. Agrawal;Ajay Joshi;José L. Abellán;John Kim;D. Kaeli
共 9 条
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:
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:
TWC: Medium: Automating Countermeasures and Security Evaluation Against Software Side-channel Attacks
-
批准号:1563697
-
项目类别:Continuing Grant
-
资助金额:$120.0万
-
财政年份:2016
-
负责人:Yunsi Fei
-
依托单位:
TWC: Medium: Collaborative: A Unified Statistics-Based Framework for Side-Channel Attack Analysis and Security Evaluation of Cryptosystems
-
批准号:1314655
-
项目类别:Standard Grant
-
资助金额:$52.21万
-
财政年份:2013
-
负责人:Yunsi Fei
-
依托单位:
MRI: Development of a Testbed for Side Channel Analysis and Security Evaluation (TeSCASE)
-
批准号:1337854
-
项目类别:Standard Grant
-
资助金额:$50.0万
-
财政年份:2013
-
负责人:Yunsi Fei
-
依托单位:
A Multi-level/multi-faceted Framework for Energy-efficient Application-Specific Instruction Set Processor Synthesis
-
批准号:0541102
-
项目类别:Continuing Grant
-
资助金额:$27.5万
-
财政年份:2006
-
负责人:Yunsi Fei
-
依托单位:
海外基金