IoT Sensor Devices Cybersecurity Framework
The IEEE Internet of Things (IoT) IoT Sensor Devices Cybersecurity Framework provides people with an extensive framework to aid in the development of IoT Sensor Devices and endpoint security. This paper focuses on interfaces, possible attack vectors, and cybersecurity requirements for IoT devices, as well as the organizational approach to…
Research Report on The Governance of China’s Financial Black and Gray Industries
This report provides an in-depth analysis of various aspects related to the governance of financial black and gray industries in China. It covers definitions and classifications, causes and manifestations, consequences and impacts, and challenges and responses. The objective is to offer practical and innovative insights for further research and operational…
Use Case Report of Trusted Decentralized Networking Platforms Toward the 6G Network and Shared Network Resources
In the 6G era, since decentralization is an important feature not only for the diverse and distributed vertical applications but also for the underlying network, it is necessary to research trusted decentralized networking platforms. In this report, several emerging use cases are collected, including the digitalization of trade and shipping…
Sustainmobility--Impact Assessment Framework for Sustainable Mobility Systems: Related Work and Framework for Sustainable Mobility
The SustainMobility Impact Assessment Framework provides a structured approach to evaluate the impacts of sustainable mobility systems, aligning them with international initiatives like the United Nations’ Sustainable Development Goals (SDGs). It reviews existing initiatives, IEEE efforts, and introduces a taxonomy categorizing strategies, technologies, and interoperable mobility solutions. This white paper…
AI Meets the V-Model: Why It Is Not A Luxury, But A Necessity
Artificial intelligence (AI) is rapidly changing the automotive industry. Advanced driver-assistance systems (ADAS) features, such as hands-free driving, intelligent braking, and real-time traffic sign recognition, driven by machine learning, are no longer science fiction. However, despite the excitement surrounding AI, a significant challenge has emerged: how can the automotive industry…
Zero Trust Gap Analysis for Health Technology
This document examines cybersecurity gaps within healthcare technology frameworks, analyzing weaknesses in outdated infrastructure, cloud deployments, and connected medical devices. Conventional boundary-focused security approaches fail to counter sophisticated threats targeting healthcare entities, including encryption-based extortion, social manipulation, and unauthorized data extraction. This analysis reveals how identity-centric verification models, employing persistent…
Toward Practical Anonymity: A White Paper on Privacy Risk, Metrics, and Governance in Synthetic Data
Structured synthetic data is presented as a maturing technology for privacy preservation that facilitates compliance with data protection regulations. The difficulty of defining when such data can be considered anonymous under existing legal frameworks is highlighted, given the absence of a universal standard, even as emerging best practices begin to…
Applying a Climate--Health Foundation Model: Integrating Environmental Data, Health Outcomes, and Workforce Adaptation
This report examines emerging practices in climate–health data integration and introduces Biosurveillance Engine for Adaptive Resilience (BEAR)—a federated, standards-based, and governance-driven framework designed to learn from multimodal data sources to strengthen adaptive governance, predictive surveillance, and workforce resilience. Drawing on case studies, this paper analyzes applications of geospatial, environmental, and…
Quantum Technologies for Emerging and Future Applications
This white paper holistically considers an integrated, cross-technology roadmap that utilizes the interdependence among quantum computing, communication, materials, devices, and measurements. By evaluating the feasibility of future applications and identifying technological bottlenecks, this approach helps researchers focus on critical challenges and guides investors in building resilient, diversified supply chains. Startups…