CISE-MSI: RCBPP-RF: SHF: Towards Efficient, Reliable, and Secure Chaotic Communications in Wearable Devices

该奖项全部或部分由《2021年美国救援计划法案》（公法117-2）资助。可穿戴和便携式传感器正在进入日常生活，不仅作为跟踪设备，还作为诊断和治疗设备。可穿戴无线设备需要满足此类设备的资源有限要求的高效安全通信解决方案。为了促进低功耗、可植入、便携式或可穿戴传感器的安全通信，加密过程必须直接与传感器的底层硬件集成。混沌电路可用于保护资源有限设备的通信。混沌系统是一种高度复杂、不可预测、对初始条件敏感的系统。但是，如果满足某些要求，它们可以用于生成可预测的响应。混沌可以用来在噪声下隐藏数据，从而在无线通信中使用时提供数据保密性。另一方面，混沌在保密无线通信中的应用仅限于实验室研究。在实际应用中，由于缺乏保持通信两端（发送端和接收端）同步的解决方案，限制了混沌通信在研究实验室中的应用，为了消除这些问题，并提供一个高效，可靠和安全的片上混沌加密发送器和接收器，本研究旨在实现以下目标。第一阶段：提供一个混沌的低功耗发射器和接收器，能够实时加密的感觉信号。第二阶段：通过采用专门为混沌通信系统设计的可证明安全的逻辑锁定框架，保护混沌通信的底层硬件免受盗版和复制。阶段3：开发高效的智能和机器学习算法，以提供发送和接收信号的动态匹配。阶段4：IC原型设计和以物理形式实现设计，以确保设计的功能性。这项研究带来了来自加州州立大学长滩的电气工程系和计算机工程与计算机科学系的研究人员，他们提供了一种逻辑锁定的发射机和接收机，可以以有效和可靠的方式使用混沌对信号进行编码和解码。医疗保健的经济负担一直在阻止许多，大多数少数民族和代表性不足的群体无法监测其医疗状况和寻求治疗。在过去的十年中，可穿戴技术的采用率出现了前所未有的增长，并且可以降低医疗保健的成本。如果在设计时在设备上实现安全性，则可以提供无障碍护理。如果这些设备的设计具有有效的安全性，公众的信心以及随后的采用将增加。长滩的加州州立大学是一所少数族裔服务机构，在美国大学多样性排名第四。通过让不同的学生参与设计，实施和测试可穿戴健康设备的安全解决方案，该项目旨在扩大对计算和通信研究的参与。此外，安全的可穿戴设备可以增强对此类健康监测设备的信任和采用，并增加负担得起的医疗保健的可及性，提高健康公平性。项目的总体进展、结果和数据集将通过网站和Git存储库公开共享。从这项研究中获得的结果将以出版物、技术演示、设计报告、教育材料、数据集和源代码的形式传播，并将在本项目期间及以后在研究者的网站和Git存储库上公开托管。项目Git存储库：https://github.com/ahedaya/csulb_nsf_cise_msiThe项目网站：https://avahedayatipour.com/research/hardwaresecurityThis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。

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Wearable and portable sensors are finding their way into everyday life, not only as tracking devices but as diagnostic and treatment devices. Wearable wireless devices require efficient secure communication solutions that meet the resource-limited requirements of such devices. To facilitate secure communications for low-power, implantable, portable, or wearable sensors, the encryption process must be integrated directly with the sensor’s underlying hardware. Chaotic circuits can be used to secure communication of resource-limited devices. Chaotic systems are highly complex, unpredictable, and sensitive to their initial condition. However, they can be used to generate predictable responses if certain requirements are met. Chaos can be utilized to hide data under noise, thus providing data confidentiality if used in wireless communication. On the other hand, applications of chaos in secure wireless communication have been limited to laboratory research. Lack of solutions that maintain both ends of communication (transmitter and receiver) synchronized in real-world applications has limited the use of chaotic communication to research laboratories.To eliminate these issues and provide an efficient, reliable, and secure on-chip chaotic ciphering transmitter and receiver, this research aims to accomplish the following objectives. Phase 1: Delivering a chaotic low-power transmitter and receiver capable of real-time ciphering of sensory signals. Phase 2: Securing the underlying hardware of chaotic communication against piracy and duplication by adopting a provably secure logic locking framework specifically designed for such systems. Phase 3: Developing efficient smart and machine learning algorithms to provide a dynamic matching of the transmitted and received signal. Phase 4: IC prototyping and implementing the design in the physical form to ensure the functionality of the design. This research brings researchers from the Department of Electrical Engineering and Department of Computer Engineering and Computer Science in California State University Long Beach to provide a logic locked transmitter and receiver that can code and decode the signal using chaos in an efficient and reliable manner.The financial burden of healthcare has been preventing many, most among minorities and underrepresented groups from monitoring their medical condition and seeking treatment. Wearable technology has seen an unprecedented increase in adoption in the last decade and can reduce the cost of healthcare. It can provide accessible care if security is implemented on devices at the design. If such devices are designed with efficient security, the public confidence, and subsequently their adoption, will increase. California State University, Long Beach is a minority serving institute ranked number four for diversity among United States colleges. By engaging diverse students in designing, implementing, and testing secure solutions for wearable health devices, this project aims to expand participation in computing and communication research. Furthermore, secure wearable devices can enhance trust and adoption of such health-monitoring devices and increase access to affordable healthcare and improve health equity.The general progress of the projects, results, and datasets will be shared publicly through the website and Git repository. The obtained results from this research will be disseminated in the form of publications, technical presentations, design reports, educational materials, dataset, and source code, and will be hosted publicly for the length of this project and beyond, on the investigator's website and Git repository.The project Git repository: https://github.com/ahedaya/csulb_nsf_cise_msiThe project Website: https://avahedayatipour.com/research/hardwaresecurityThis 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.