PFI-RP: Design and Fabrication of Hardware-based Security Platform using Fabrication Variability of Ultra low Power Memories
PFI-RP:利用超低功耗存储器的制造可变性设计和制造基于硬件的安全平台
基本信息
- 批准号:2204502
- 负责人:
- 金额:$ 75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-10-01 至 2023-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact and commercial potential of this PFI project is to pave the road for commercialization of a new generation of security solutions through leveraging recent advances in low power non-silicon based memories, advanced error recovery techniques and artificial intelligence. This new methodology offers a radical shift in the field of cybersecurity through departing from pure-software based cryptographic methods toward a hybrid solution of using fabrication variability of electronic devices and advanced error correction methods. This project is a collaboration between academia and industry to enhance current security solutions used in e-commerce, banking, smart cities, supply chains, smart health, machine to machine communications and the emerging Internet of Things. In addition to the scientific impact of opening up new research opportunities for scholars (faculty, graduate and undergraduate students), R&D, and production line workforce in semiconductor and security industry, this project has a great socioeconomic impact by restoring people's trust on using advanced technology and internet based service. Making the system robust to security attacks will save the country millions of dollars noting that more than $11 million dollars is spent directly to combat cybercrime in the US with an annual raise of 22%. The proposed project offers a proof-of-concept security module that uses fabrication variability of embedded memories in electronic devices to secure web-based communication protocols against hacking attacks. In contrast to the current cryptographic methods, where the keys are store in conventional memories, no security keys will be stored in the proposed security module; therefore it will be highly protected against cloning attempts to provide full security in the case of physical hijacking. Further, recently developed ultra-low power memories will be used to make the developed module secure to side channel attacks, as an additional key feature of this device. Using a novel error correction mechanism by integrating ternary state logic, artificial intelligence and recent advances in modern coding theory, a long-lasting problem of key generation mismatch is resolved by making the key generation failure rate infinitesimal.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 PFI 项目的更广泛影响和商业潜力是通过利用低功耗非硅存储器、先进错误恢复技术和人工智能的最新进展,为新一代安全解决方案的商业化铺平道路。这种新方法从基于纯软件的加密方法转向使用电子设备制造可变性和先进纠错方法的混合解决方案,为网络安全领域带来了根本性转变。该项目是学术界和工业界之间的合作,旨在增强电子商务、银行、智慧城市、供应链、智能健康、机器对机器通信和新兴物联网中当前使用的安全解决方案。除了为半导体和安全行业的学者(教师、研究生和本科生)、研发人员和生产线员工开辟新的研究机会所产生的科学影响外,该项目还通过恢复人们对使用先进技术的信任而产生巨大的社会经济影响和基于互联网的服务。使系统能够抵御安全攻击将为国家节省数百万美元,值得注意的是,美国有超过 1100 万美元直接用于打击网络犯罪,每年增长 22%。拟议的项目提供了一个概念验证的安全模块,该模块利用电子设备中嵌入式存储器的制造可变性来保护基于网络的通信协议免受黑客攻击。与当前的加密方法相比,密钥存储在传统存储器中,所提出的安全模块中不会存储安全密钥;因此,它将受到高度保护,防止克隆企图,以在物理劫持的情况下提供全面的安全性。此外,最近开发的超低功耗存储器将用于使开发的模块能够抵御旁道攻击,这是该设备的另一个关键功能。通过集成三态逻辑、人工智能和现代编码理论的最新进展,采用新颖的纠错机制,通过使密钥生成失败率极小,解决了长期存在的密钥生成不匹配问题。该奖项反映了 NSF 的法定使命,并具有通过使用基金会的智力优点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(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Reliable, Secure, and Efficient Hardware Implementation of Password Manager System Using SRAM PUF
使用 SRAM PUF 可靠、安全且高效地硬件实现密码管理系统
- DOI:10.1109/access.2021.3129499
- 发表时间:2021-01
- 期刊:
- 影响因子:3.9
- 作者:Mohammadinodoushan, Mohammad;Cambou, Bertrand;Afghah, Fatemeh;Philabaum, Christopher Robert;Burke, Ian
- 通讯作者:Burke, Ian
Tamper-sensitive pre-formed ReRAM-based PUFs: Methods and experimental validation
基于 ReRAM 的防篡改预成型 PUF:方法和实验验证
- DOI:10.3389/fnano.2022.1055545
- 发表时间:2022-11-03
- 期刊:
- 影响因子:2.4
- 作者:Taylor Wilson;B. Cambou
- 通讯作者:B. Cambou
An Error Correction Approach to Memristors PUF-based Key Encapsulation
基于忆阻器PUF的密钥封装纠错方法
- DOI:10.1109/coins51742.2021.9524282
- 发表时间:2021-08
- 期刊:
- 影响因子:0
- 作者:Korenda, Ashwija Reddy;Assiri, Sareh;Afghah, Fatemeh;Cambou, Bertrand
- 通讯作者:Cambou, Bertrand
Secure PUF-based Authentication and Key Exchange Protocol using Machine Learning
使用机器学习确保基于 PUF 的安全身份验证和密钥交换协议
- DOI:10.1109/isvlsi54635.2022.00086
- 发表时间:2022-07-01
- 期刊:
- 影响因子:0
- 作者:Amir Ali Pour;F. Afghah;D. Hély;V. Beroulle;G. D. Natale
- 通讯作者:G. D. Natale
Error correcting schemes for keyless encryption
无密钥加密的纠错方案
- DOI:
- 发表时间:2022-01
- 期刊:
- 影响因子:0
- 作者:Cambou, Bertrand;Afghah, Fatemeh;Assiri, Sareh;Korenda, Ashwija
- 通讯作者:Korenda, Ashwija
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Fatemeh Afghah其他文献
Efficient Fuzzy-Based 3-D Flying Base Station Positioning and Trajectory for Emergency Management in 5G and Beyond Cellular Networks
用于 5G 及其他蜂窝网络应急管理的高效模糊 3D 飞行基站定位和轨迹
- DOI:
10.1109/jsyst.2024.3359776 - 发表时间:
2024-06-01 - 期刊:
- 影响因子:4.4
- 作者:
M. J. Sobouti;H. Adarbah;Afshin Alaghehb;Hamid Chitsaz;A. Mohajerzadeh;Mehdi Sookhak;Seyed Amin Hosseeini Seno;Abedin Vahedian;Fatemeh Afghah - 通讯作者:
Fatemeh Afghah
PyroTrack: Belief-Based Deep Reinforcement Learning Path Planning for Aerial Wildfire Monitoring in Partially Observable Environments
PyroTrack:基于信念的深度强化学习路径规划,用于部分可观测环境中的空中野火监测
- DOI:
10.48550/arxiv.2403.11095 - 发表时间:
2024-03-17 - 期刊:
- 影响因子:0
- 作者:
Sahand Khoshdel;Qi Luo;Fatemeh Afghah - 通讯作者:
Fatemeh Afghah
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning
FlameFinder:通过专注的深度度量学习通过烟雾照亮模糊的火焰
- DOI:
10.48550/arxiv.2404.06653 - 发表时间:
2024-04-09 - 期刊:
- 影响因子:0
- 作者:
Hossein Rajoli;Sah;Khoshdel;Fatemeh Afghah;Xiaolong Ma - 通讯作者:
Xiaolong Ma
Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision
气候智能型林业的人工智能:前瞻性愿景
- DOI:
10.1109/cogmi58952.2023.00011 - 发表时间:
2023-11-01 - 期刊:
- 影响因子:0
- 作者:
Feng Luo;Ling Liu;G. G. Wang;Vijay Kumar;Mark S. Ashton;Jacob Abernethy;Fatemeh Afghah;Matthew H. E. M. Browning;David Coyle;Philip Dames;Tom O'Halloran;James Hays;Patrick Heisl;Chenfanfu Jiang;Puskar Khanal;V. Krovi;Sara Kuebbing;Nianyi Li;Jingjing Liang;Ninghao Liu;Steve McNulty;C. Oswalt;Neil Pederson;D. Terzopoulos;Christopher W. Woodall;Yongkai Wu;Jian Yang;Yin Yang;Liang Zhao - 通讯作者:
Liang Zhao
Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset
使用无人机收集的 RGB/IR 图像数据集进行荒地火灾探测和监控
- DOI:
10.1109/access.2022.3222805 - 发表时间:
2024-09-14 - 期刊:
- 影响因子:3.9
- 作者:
Xiwen Chen;Bryce Hopkins;Hao Wang;Leo O’Neill;Fatemeh Afghah;A. Razi;Peter Fulé;Janice Coen;Eric Rowell;Adam Watts - 通讯作者:
Adam Watts
Fatemeh Afghah的其他文献
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{{ truncateString('Fatemeh Afghah', 18)}}的其他基金
Collaborative Research:CISE-MSI:DP:CNS:Adaptive Multi-Tiered, Multi-Task Base Station Infrastructure For Communication-Denied Environments
合作研究:CISE-MSI:DP:CNS:用于通信被拒绝环境的自适应多层、多任务基站基础设施
- 批准号:
2318726 - 财政年份:2023
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
CAREER: Toward Autonomous Decision Making and Coordination in Intelligent Unmanned Aerial Vehicles' Operation in Dynamic Uncertain Remote Areas
职业:在动态不确定的偏远地区实现智能无人机操作的自主决策和协调
- 批准号:
2232048 - 财政年份:2022
- 资助金额:
$ 75万 - 项目类别:
Continuing Grant
Collaborative Research: SWIFT: LARGE: AI-Enabled Spectrum Coexistence between Active Communications and Passive Radio Services: Fundamentals, Testbed and Data
合作研究:SWIFT:大型:主动通信和无源无线电服务之间人工智能支持的频谱共存:基础知识、测试平台和数据
- 批准号:
2202972 - 财政年份:2021
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Wildland Fire Observation, Management, and Evacuation using Intelligent Collaborative Flying and Ground Systems
协作研究:CPS:中:使用智能协作飞行和地面系统进行荒地火灾观测、管理和疏散
- 批准号:
2204445 - 财政年份:2021
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Wildland Fire Observation, Management, and Evacuation using Intelligent Collaborative Flying and Ground Systems
协作研究:CPS:中:使用智能协作飞行和地面系统进行荒地火灾观测、管理和疏散
- 批准号:
2039026 - 财政年份:2021
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Wildland Fire Observation, Management, and Evacuation using Intelligent Collaborative Flying and Ground Systems
协作研究:CPS:中:使用智能协作飞行和地面系统进行荒地火灾观测、管理和疏散
- 批准号:
2204445 - 财政年份:2021
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Collaborative: Smart Health in the AI and COVID Era
协作:人工智能和新冠时代的智能健康
- 批准号:
2120217 - 财政年份:2021
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
SCC-PG: Just in Time Intervention for Patients with Chronic Heart Diseases in Arizona tribes
SCC-PG:对亚利桑那州部落慢性心脏病患者进行及时干预
- 批准号:
2125643 - 财政年份:2021
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
SCC-PG: Just in Time Intervention for Patients with Chronic Heart Diseases in Arizona tribes
SCC-PG:对亚利桑那州部落慢性心脏病患者进行及时干预
- 批准号:
2213915 - 财政年份:2021
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT: LARGE: AI-Enabled Spectrum Coexistence between Active Communications and Passive Radio Services: Fundamentals, Testbed and Data
合作研究:SWIFT:大型:主动通信和无源无线电服务之间人工智能支持的频谱共存:基础知识、测试平台和数据
- 批准号:
2030047 - 财政年份:2020
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
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PFI-RP: An Innovative Wheelchair Design that Shifts Body Pressures Automatically to Prevent Tissue Damage and Injury
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