Establishing IoT Reputation Systems

本研究项目重点分析建立物联网（IoT）信誉系统。物联网的持续发展可能会给各个领域的社会经济创新带来革命性的变化。事实证明，数字革命对快递和物流产生了深远的影响。我想把我的研究重点放在医疗保健供应链领域的挑战上。我的目标是通过在医疗保健供应链中建立数据框架和采用物联网来强调物联网声誉在这一领域的关键作用。智能物联网数据的数据所有权方面可以被视为现代经济中的新货币和主要价值来源。过去两年的新冠肺炎疫情证明，全球各国需要更好地了解医疗保健管理和供应链管理，这是其关键方面。不仅政府面临着这些供应链挑战，负责保护跨国物联网价值网络的公司也面临着这些挑战。目前，全球供应链网络对大气产生了更多的污染，这是减少二氧化碳排放的一个限制因素。解决这一问题的可能方法之一是增加对数据和数据质量的信任，这将改变开发生命周期和价值链，从而创建可持续的智能物联网供应链网络，从而实现更精确、更轻的供应链。整合智能数据模型的努力不仅可以促进药物商业化，而且还可以支持美国国立卫生研究院早期侧重于生物多样性保护、遗传资源和民族生物学知识的研究。尽管大量采用了物联网，但在这些系统中，有效的安全和保障措施仍然缺乏高度优先级的认可。在全球物联网价值网络中，保护复杂的系统体系结构不能纯粹依赖物联网设备，还应考虑连接性和云基础设施的具体情况，包括最佳数据质量实践。有必要为国内和跨国信息共享机构建立协调机制，以应对新出现的脆弱性和威胁。从我的角度来看，本研究的主要目标是建模和开发一个物联网安全治理框架，该框架将专注于有效的监测制度，并详细描述物联网安全实践的可追溯性。在这个项目中，我将探索系统的模型和标准，以了解物联网价值网络中的参与者在一致和有效的物联网安全实践方面的声誉意味着什么。根据用例分析的结果，建立有效的安全和保障的低优先级将受到质疑。我的质量研究的一部分将包括从各种物联网公司收集的调查结果，这些调查结果将被要求开发主要客户不愿允许物联网公司完全拥有数据的场景。有效的物联网安全实践与已知受到损害的安全实践之间存在根本区别。用例分析将基于证据收集和文档沟通障碍。研究的漏洞示例和确定的危害将为风险缓解和补救策略提供材料，并识别建立安全可信网络所必需的物联网设备行为。我将提供一个清晰的数据管理框架，以改善供应链管理中高质量物联网保障措施的实施。该框架将包含以下部分：1)物联网治理概述和最佳实践2)基本解决方案组件3)大规模解决方案组件。

This research project focuses on analysis of establishing Internet of Things (IoT) reputation systems. The ongoing development of the IoT could bring revolutionary change into socioeconomic innovations in various areas. The digital revolution has proven to have a profound impact on delivery and logistics. I would like to focus my research on challenges in the area of healthcare supply chains. I aim to underline the critical role of IoT reputation in this area by establishing a data framework and IoT adoption in the healthcare supply chain. The data ownership aspect of intelligent IoT data can be seen as a new currency and a main source of value in the modern economy. The last two years with Covid-19 have proven that the countries across the globe need a better understanding of healthcare management and supply chain management as its critical aspects. Not only the governments were facing these supply chain challenges but also companies that are responsible for securing transnational IoT Value Networks. Global supply chain networks are currently posed to produce more pollution to the atmosphere, a limiting factor in reducing carbon dioxide emissions. One of the possible ways of tackling this problem is to increase trust in data and data quality that will transform development lifecycles and value chains, creating as a result sustainable intelligent IoT supply chain networks leading to more precise, lighter supply chains.The effort to integrate intelligent data models can not only lead to enhancements in drug commercialization but also support earlier research by the National Institutes of Health which were focused on biodiversity conservation, genetic resources and ethnobiological knowledge. Despite substantial adoption of the IoT, effective security and safeguards are still lacking recognition as high priority in these systems. In the global IoT value network securing complex system-of-systems architecture must not rely purely on IoT devices but should also consider connectivity and cloud infrastructure specifics, including the best data quality practices. There is a need to develop coordinating mechanisms for both domestic and transnational informational sharing institutions in order to address emerging vulnerabilities and threats. From my perspective, the main objective of this research is to model and develop an IoT security governance framework that would focus on the effective monitoring regime and characterise the traceability of IoT security practices in detail. In this project I will explore systematic models and standards for what it means for actors in the IoT value network to have a reputation for consistent and effective IoT security practices. The low priority of establishing effective security and safeguards will be questioned against the results of use case analysis. Part of my quality research will include survey results collected from various of the IoT companies that would be asked to develop scenarios where major clients are unwilling to allow the IoT company to own the data outright.The fundamental distinction is to be made between the effective IoT security practices and those that are known to be compromised. The use case analysis will be based on evidence collection and document communication barriers. The researched examples of vulnerabilities and identified compromises will provide material for risk mitigation and remediation strategy as well as recognition of the IoT device behaviour that is necessary to establish a secure and trusted network. I will provide a clear data management framework that will allow for improving implementation of high quality IoT safeguards in the supply chain management. This framework will contain the following parts 1) IoT governance overview and the best practices 2) Essential solution components 3) Large scale solution components.