Optimizing digital twins in the Industrial Internet of Things (IIoT) requires secure and adaptable AI models. The IIoT enables digital twins, virtual replicas of physical assets, to improve real-time decision-making, but challenges remain in trust, data security, and model accuracy. This paper presents a novel framework combining blockchain technology and federated learning (FL) to address these issues. By deploying AI models on edge devices and using FL, data privacy is maintained while enabling collaboration across industrial assets. Blockchain ensures secure data management and transparency, while explainable AI (XAI) enhances interpretability. The framework improves transparency, control, security, privacy, and scalability for self-optimizing digital twins in IIoT. A real-world evaluation demonstrates the framework’s effectiveness in enhancing security, explainability, and optimization, offering improved efficiency and reliability for industrial operations.

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We are investigating computing platform-independent policy frameworks to specify, analyze, and deploy security and networking policies. The goal is to provide easy to use mechanisms for refining high-level user-specified goals into low-level controls. This scenario-based demo of a Coalition Policy Management Portal prototype uses the context of a hostage rescue situation to demonstrate usable and effective policy authoring through either natural language or structured lists that create natural language policy rules; policy visualization; analysis of policies for conflict, dominance, and coverage, and methods to resolve the issues identified; policy transformation from natural language to XML or ACPL SPL for automated enforcement, and deployment of policies onto mission equipment. The prototype builds on the SPARCLE and PONDER2 research projects.

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As computer communication evolves into the twenty-first century high bandwidth low delay communication is becoming the norm rather than the exception. This is leading to data networks being used by applications which previously had restricted themselves to specialized networks. These applications include digital television, digital audio, and facsimile transmission, and in general multimedia (including continuous-media) applications. The quality of service (QOS) [Leiner 88] expected from the network by these applications varies over a wide range: some are sensitive to delays experienced in the communication network, others are sensitive to loss rates, while yet others are sensitive to delay variations. An integrated network, which aims to support all these services, must attempt to meet the needs of all the applications.