Phase I IUCRC Northeastern University: Center for Hardware and Embedded System Security and Trust (CHEST)
第一阶段IUCRC东北大学:硬件和嵌入式系统安全与信任中心(CHEST)
基本信息
- 批准号:1916762
- 负责人:
- 金额:$ 75万
- 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
- 起止时间:2019-09-15 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
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.
硬件和嵌入式系统安全与信任(CHAST)的中心协调了大学的研究,需要行业和政府合作伙伴的需求,以提高对电子硬件和嵌入式系统的安全性,保证和信任的了解。胸部的兴趣包括识别,检测,监测,缓解和消除影响硬件和嵌入式系统的漏洞。胸部中心介绍了跨设计,操作,制造,供应链以及硬件,软件和固件集成到各种系统的一系列攻击向量。该中心正在为利益相关者发明和传播技术,实践和指南,并教育下一代专家。NSF胸部中心介绍了多个层次的安全性,保证和信任:大型系统,嵌入式系统,设计和设计,设计和操作,需求,需求,标准,制造,供应链,供应链以及整体通行器和整体循环和整合。在大学中,东北大学(NU)领导着设计,缓解和保护硬件和嵌入式系统的胸部努力,以免受建筑和嵌入式设备水平的恶意攻击。主题包括:(i)清洁式安全体系结构,以平衡CPU和加速器上的性能和信息安全; (ii)在Things Internet边缘的安全性轻巧的硬件原始图; (iii)在对抗性攻击下,在边缘计算上进行深度学习系统的硬化技术。综合网络物理系统的安全性,保证和信任,使满足基本的人类需求,并支持更广泛的社会,环境和经济进步。系统吸收破坏性冲击和恢复最小损失的能力是保护人类生命和财产的关键。 NSF胸部中心影响了工业,政府和军事在设计,保护和弹性方面的措施,对与硬件和嵌入式系统相关的脆弱性。提高保证和信任有助于减少不利事件的频率和严重性,关注系统任务,性能,时间表和成本。NSF胸部中心网站www.nsfchest.org是所有公开可访问的数据,代码,结果等的存储库。这些页面至少将在胸部中心保持至少维护。此外,NU领导的所有胸部项目均以NU文件服务器的数字格式永久存档,并在设备故障的情况下提供足够的备份和恢复准备。所有档案NU计算机和服务器都会定期备份。该奖项反映了NSF的法定任务,并且使用基金会的知识分子优点和更广泛的影响评估标准,被认为值得通过评估来获得支持。
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)
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:
- 影响因子:0
- 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:
- 影响因子:0
- 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:
- 影响因子:0
- 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:
- 影响因子:0
- 作者:Majid Sabbagh, Yunsi Fei
- 通讯作者:Majid Sabbagh, Yunsi Fei
Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs
加速 GPU 上同态加密的有限域算法
- DOI:10.1109/mm.2023.3253052
- 发表时间:2023
- 期刊:
- 影响因子:3.6
- 作者:Livesay, Neal;Jonatan, Gilbert;Mora, Evelio;Shivdikar, Kaustubh;Agrawal, Rashmi;Joshi, Ajay;Abellán, José L.;Kim, John;Kaeli, David
- 通讯作者:Kaeli, David
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Yunsi Fei其他文献
Orchestrating Horizontal Parallelism and Vertical Instruction Packing of Programs to Improve System Overall Efficiency
编排程序的水平并行性和垂直指令打包,以提高系统整体效率
- DOI:
10.1109/tc.2009.41 - 发表时间:
2009 - 期刊:
- 影响因子:3.7
- 作者:
Hai Lin;Yunsi Fei - 通讯作者:
Yunsi Fei
A novel multi-objective instruction synthesis flow for application-specific instruction set processors
用于特定应用指令集处理器的新颖的多目标指令合成流程
- DOI:
10.1145/1785481.1785576 - 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Hai Lin;Yunsi Fei - 通讯作者:
Yunsi Fei
Towards secure cryptographic software implementation against side-channel power analysis attacks
针对侧信道功率分析攻击的安全加密软件实施
- DOI:
10.1109/asap.2015.7245722 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Pei Luo;Liwei Zhang;Yunsi Fei;A. Ding - 通讯作者:
A. Ding
DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA
DeepStrike:对 Cloud-FPGA 中的 DNN 加速器进行远程引导故障注入攻击
- DOI:
10.1109/dac18074.2021.9586262 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Yukui Luo;Cheng Gongye;Yunsi Fei;Xiaolin Xu - 通讯作者:
Xiaolin Xu
MemPoline: Mitigating Memory-based Side-Channel Attacks through Memory Access Obfuscation
MemPoline:通过内存访问混淆减轻基于内存的侧通道攻击
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Z. Jiang;Yunsi Fei;A. Ding;T. Wahl - 通讯作者:
T. Wahl
Yunsi Fei的其他文献
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{{ truncateString('Yunsi Fei', 18)}}的其他基金
EAGER: Side Channels Go Deep - Leveraging Deep Learning for Side-channel Analysis and Protection
EAGER:侧信道深入——利用深度学习进行侧信道分析和保护
- 批准号:
2212010 - 财政年份:2022
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
SaTC: CORE: Medium: Protecting Confidentiality and Integrity of Deep Neural Networks against Side-Channel and Fault Attacks
SaTC:核心:中:保护深度神经网络的机密性和完整性免受侧通道和故障攻击
- 批准号:
1929300 - 财政年份:2019
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Planning IUCRC Northeastern University: Center for Hardware and Embedded System Security and Trust (CHEST)
规划 IUCCRC 东北大学:硬件和嵌入式系统安全与信任中心 (CHEST)
- 批准号:
1747748 - 财政年份:2018
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
TWC: Medium: Automating Countermeasures and Security Evaluation Against Software Side-channel Attacks
TWC:中:针对软件旁路攻击的自动化对策和安全评估
- 批准号:
1563697 - 财政年份:2016
- 资助金额:
$ 75万 - 项目类别:
Continuing Grant
TWC: Medium: Collaborative: A Unified Statistics-Based Framework for Side-Channel Attack Analysis and Security Evaluation of Cryptosystems
TWC:媒介:协作:基于统计的统一框架,用于密码系统的侧通道攻击分析和安全评估
- 批准号:
1314655 - 财政年份:2013
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
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 - 财政年份:2013
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
A Multi-level/multi-faceted Framework for Energy-efficient Application-Specific Instruction Set Processor Synthesis
节能型专用指令集处理器综合的多层次/多方面框架
- 批准号:
0541102 - 财政年份:2006
- 资助金额:
$ 75万 - 项目类别:
Continuing Grant
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