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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：
Fatemeh Afghah
金额：
$ 75万
依托单位：
Clemson University
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：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2204502&HistoricalAwards=false
关键词：
PFI RP Design Fabrication Hardware

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基存储器、高级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。这种新方法通过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高级纠错方法的混合解决方案，在网络安全领域实现了根本性转变。该项目是学术界和工业界之间的合作，旨在增强当前用于电子商务、银行、智能城市、供应链、智能健康、机器对机器通信和新兴物联网的安全解决方案。除了为半导体和安全行业的学者（教师，研究生和本科生），研发和生产线劳动力开辟新的研究机会的科学影响外，该项目还通过恢复人们对使用先进技术和基于互联网的服务的信任而产生巨大的社会经济影响。使该系统能够抵御安全攻击将为美国节省数百万美元，并指出美国直接用于打击网络犯罪的资金超过1100万美元，每年增长22%。拟议的项目提供了一个概念验证安全模块，该模块使用电子设备中嵌入式存储器的制造可变性来保护基于Web的通信协议免受黑客攻击。与目前的密码方法相比，其中密钥存储在传统的存储器中，没有安全密钥将存储在所提出的安全模块中;因此，它将受到高度保护，以防止克隆尝试，从而在物理劫持的情况下提供充分的安全性。此外，最近开发的超低功耗存储器将用于使开发的模块安全地抵御侧信道攻击，作为该设备的附加关键功能。通过整合三态逻辑、人工智能和现代编码理论的最新进展，使用一种新的纠错机制，通过使密钥生成失败率无限小，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，并通过使用基金会的智力价值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）

Helper Data Masking for Physically Unclonable Function-based Key Generation Algorithms

DOI：
10.1109/access.2022.3165284
发表时间：
2022
期刊：
IEEE Access
影响因子：
3.9
作者：
Amir Ali Pour;F. Afghah;D. Hély;V. Beroulle;G. D. Natale;A. Korenda;B. Cambou
通讯作者：
Amir Ali Pour;F. Afghah;D. Hély;V. Beroulle;G. D. Natale;A. Korenda;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