Safe and Effective Multi-sensory Personal Aids in the IoT Age

物联网时代安全有效的多感官个人辅助工具

• 批准号: RGPIN-2018-04708
• 负责人: Zilic, Zeljko
• 金额: $ 2.04万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=669936
• 关键词: Safe; Effective; Multi; sensory; Personal

This program targets decentralized Internet of Things (IoT), with emphasis on human health applications built by our quality-driven design of multi-sensory wireless systems. We will explore the use of novel hybrid system optimization and verification methods, as well as the emerging fields of computing, such as the imprecise, in-memory, reversible or quantum computing. ******The long-term goal entails the personalized medicine systems, where sensors collect the data on major physiological state variables to personalize medicaments, exercise and nutrition dosing, leading to precise control that reduces widespread adverse effects, especially for chronic conditions. ******Short-term goals include the quality-driven design of dependable systems, the development of health/lifestyle testbeds and the design of machine intelligence accelerators for distributed, privacy-preserving human activity recognition (HAR) and ambiental intelligence, to harness the carefully designed new capabilities of the devices embedded in the edge of the network. The systems for chronic health conditions (diabetes, respiration) and aging will be tuned to improve or obviate the separately undertaken human trials. ******While current IoTs often employ centralized architectures relying on cloud, considerable decentralization is needed for health applications that generate large amounts of data used by the diverse stakeholders. Ensuring proper data handling is currently costly, as common IoT platforms often become security targets, which especially endangers privacy in health and lifestyle applications. Even the mature privacy and security schemes fail when billions of IoT devices enter the market, so improvements will be studied. ***Besides the assertion-based quality assurance, monitoring and verification techniques, we will explore the repudiation-free blockchain for feasible trust mechanisms in massive networks of IoT devices used in healthcare and lifestyle. The low-power, scalable blockchain technologies will be considered that allow the realization of electronic health records addressing the challenges of providing the trusted prescriptions, medicaments and sensor data in the exchange between medical practitioners, pharmacies, insurance companies and patients, such that no faulty data hinders the health/lifestyle regimen. ******Research focus on the usability and continuous service quality improvements of IoT for healthcare will be hence combined with the security and privacy concerns. Future-proofing of the research will include the quantum computing-resistant security schemes and scalable reversible circuit synthesis, with benefits ranging from energy-efficiency to intelligence, safety and privacy preservation. ******The program will form a substantial pool of highly sought-after industrial and academic leaders in broad areas of computer, software and complex heterogeneous systems engineering.

该计划的目标是分散的物联网（IoT），重点是通过我们质量驱动的多传感器无线系统设计构建的人类健康应用。我们将探索新的混合系统优化和验证方法的使用，以及新兴的计算领域，如不精确，内存，可逆或量子计算。* * 长期目标需要个性化医疗系统，其中传感器收集有关主要生理状态变量的数据，以个性化药物，运动和营养剂量，从而实现精确控制，减少广泛的不良反应，特别是对于慢性疾病。* * 短期目标包括可靠系统的质量驱动设计，健康/生活方式测试平台的开发，以及分布式、隐私保护人类活动识别（HAR）和环境智能的机器智能加速器的设计，以利用嵌入在网络边缘的设备的精心设计的新功能。慢性健康状况（糖尿病，呼吸）和衰老的系统将被调整，以改善或取代单独进行的人体试验。* * 虽然当前的物联网通常采用依赖于云的集中式架构，但对于产生大量数据的健康应用程序来说，需要相当大的去中心化，这些数据由不同的利益相关者使用。确保正确的数据处理目前成本高昂，因为常见的物联网平台经常成为安全目标，特别是在健康和生活方式应用中危及隐私。当数十亿物联网设备进入市场时，即使是成熟的隐私和安全方案也会失败，因此将研究改进措施。* 除了基于断言的质量保证，监控和验证技术外，我们还将探索无否认区块链，以在医疗保健和生活方式中使用的大量物联网设备网络中建立可行的信任机制。将考虑低功耗，可扩展的区块链技术，允许实现电子健康记录，解决在医生，药房，保险公司和患者之间交换中提供可信处方，药物和传感器数据的挑战，这样就不会有错误的数据阻碍健康/生活方式方案。* * 研究重点是物联网在医疗保健领域的可用性和持续服务质量改进，因此将与安全和隐私问题相结合。未来的研究将包括量子计算抗性安全方案和可扩展的可逆电路合成，其好处包括从能源效率到智能，安全和隐私保护。* * 该计划将在计算机，软件和复杂的异构系统工程的广泛领域形成一个非常抢手的工业和学术领导者的大量人才库。