Establishing IoT Reputation Systems

本研究项目主要针对物联网声誉体系的构建进行分析。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，数字革命对交付和物流产生了深远的影响。我想把我的研究重点放在医疗供应链领域的挑战上。我的目标是通过建立数据框架和在医疗保健供应链中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一种新货币和主要价值来源。新冠肺炎的过去两年证明，全球各国都需要更好地了解医疗保健管理和供应链管理这两个关键方面。不仅政府面临着这些供应链挑战，负责确保跨国物联网价值网络安全的公司也面临着挑战。全球供应链网络目前被认为会对大气产生更多污染，这是减少二氧化碳排放的限制因素。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，这将改变发展生命周期和价值链，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增强药品商业化，还可以支持美国国立卫生研究院早期专注于生物多样性保护、遗传资源和民族生物学知识的研究。尽管物联网得到了大量采用，但有效的安全和保障措施在这些系统中仍然缺乏高度优先的地位。在全球物联网价值网络中，确保复杂系统体系架构的安全不能完全依赖物联网设备，还应考虑连接和云基础设施细节，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。在我看来，这项研究的主要目标是建模和开发一个物联网安全治理框架，该框架将侧重于有效的监控制度，并详细表征物联网安全实践的可追溯性。在本项目中，我将探索系统的模型和标准，了解物联网价值网络中的参与者拥有一致和有效的物联网安全实践的声誉意味着什么。根据用例分析的结果，将质疑建立有效安全和保障措施的低优先级。我的部分质量研究将包括从各种物联网公司收集的调查结果，这些公司将被要求制定大客户不愿允许物联网公司完全拥有数据的情景。根本区别是有效的物联网安全做法和已知受到损害的做法。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战略以及识别建立安全可信网络所必需的物联网设备行为提供材料。我将提供一个明确的数据管理框架，以便在供应链管理中改进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)大型解决方案组件。

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.