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SaTC: CORE: Small: Wireless Hardware Analog Encryption for Secure, Ultra Low Power Transmission of Data

SaTC：核心：小型：用于安全、超低功耗数据传输的无线硬件模拟加密

基本信息

批准号：
2027596
负责人：
Donatello Materassi
金额：
$ 47.29万
依托单位：
University of Minnesota-Twin Cities
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-08-01 至 2023-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2027596&HistoricalAwards=false
关键词：
SaTC CORE Small Wireless Hardware

项目摘要

Data encryption is a process to transmit sensitive information over a public channel such as a wireless channel, so that only authorized receivers can access it. Unfortunately, digital encryption techniques typically require the use of microprocessors which are power-hungry devices. This project advances the use of alternative analog encryption techniques, such as chaotic encryption. Since analog encryption techniques are more power efficient, this approach makes it possible to avoid the use of microprocessors and consequently facilitate the realization of more portable devices.While the idea of encrypting information via chaotic signals is at least three decades old, only relatively recent technological advancements in circuit fabrication allow the practical implementation of chaotic encryption over a wireless channel. Indeed, one of the main intellectual merits of this project would be the realization of a wireless sensor with integrated encryption on the same chip. Another technological innovation brought by the project is the creation of mechanisms for coordinated communications among multiple devices over the same chaotically encrypted channel using cognitive radio.The impact at large of these methods can be significant. For example, embedding analog encryption techniques in biomedical devices increases the privacy and comfort of patients since data are going to be transmitted wirelessly over a secure channel. Furthermore, autonomous energy-harvesting coin-sized sensors could be easily deployed to monitor large areas requiring minimal maintenance.The results, data and simulation software obtained in this project will be stored on the website https://www.eecs.utk.edu/people/faculty/dmateras/ for at least five years. Software will be released under an open-source license to facilitate the replicability of the results.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.

数据加密是通过公共信道（如无线信道）传输敏感信息的过程，因此只有授权的接收者才能访问它。不幸的是，数字加密技术通常需要使用耗电的微处理器。该项目推进了替代模拟加密技术的使用，如混沌加密。由于模拟加密技术更省电，这种方法可以避免使用微处理器，从而促进实现更便携的设备。虽然通过混沌信号加密信息的想法至少有三十年的历史，但只有相对较新的电路制造技术进步才允许在无线信道上实际实现混沌加密。事实上，该项目的主要智力优势之一将是在同一芯片上实现具有集成加密的无线传感器。该项目带来的另一项技术创新是使用认知无线电在同一个混沌加密信道上创建多个设备之间的协调通信机制。这些方法的影响可能是巨大的。例如，在生物医学设备中嵌入模拟加密技术增加了患者的隐私和舒适度，因为数据将通过安全通道无线传输。此外，硬币大小的自主能量收集传感器可以轻松部署，以监测需要最少维护的大面积区域。该项目获得的结果，数据和模拟软件将在https://www.eecs.utk.edu/people/faculty/dmateras/网站上存储至少五年。该奖项反映了NSF的法定使命，并通过使用基金会的知识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（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Towards a Wireless pH-Impedance Sensor System for IoT Applications

DOI：
10.1109/mwscas54063.2022.9859313
发表时间：
2022-08
期刊：
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)
影响因子：
0
作者：
Matthew Smalley;Kendra Anderson;N. Mcfarlane
通讯作者：
Matthew Smalley;Kendra Anderson;N. Mcfarlane

Sufficient and Necessary Graphical Conditions for MISO Identification in Networks with Observational Data

观测数据网络中 MISO 识别的充分必要图形条件

DOI：
10.1109/tac.2021.3130885
发表时间：
2021
期刊：
IEEE Transactions on Automatic Control
影响因子：
6.8
作者：
Jahandari, Sina;Materassi, Donatello
通讯作者：
Materassi, Donatello

A Temperature Sensing System With Encrypted Readout Using Analog Circuits

使用模拟电路进行加密读数的温度传感系统

DOI：
10.1109/mwscas.2019.8884994
发表时间：
2019
期刊：
2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS
影响因子：
0
作者：
Hedayatipour, Ava;Anderson, Kendra;Aslanzadeh, Shaghayegh;Brown, Daniel;Materassi, Donatello;McFarlane, Nicole
通讯作者：
McFarlane, Nicole

A Control Theoretic Look at Granger Causality: Extending Topology Reconstruction to Networks With Direct Feedthroughs