A Resource-Aware Trust-Based Security Framework for Heterogeneous Opportunistic Networks

智能网络是大规模、多性质、易于断开、分布式和分散式的网络，包括异构节点（例如自动驾驶汽车、家用电器、智能手机）。这些环境带来了多种挑战，必须满足这些挑战，才能满足其部署的各个领域（包括制造、医疗保健和运输）的服务要求。抽象的移动的社交网络表现出可以用来帮助解决需求的新兴特性。在我们的研究中，我们正在探索一种新的协作，预测，跨层的方法，用于实时，本地化，预测决策，以适应性地平衡多个复杂的动态权衡，如资源，安全性和隐私，同时满足多服务要求。

Opportunistic networks are large-scale, multi-natured, disconnection-prone, distributed and decentralised networks comprising heterogeneous nodes (e.g. autonomous vehicles, home appliances, smartphones). These environments present manifold challenges which must be met in order to meet service requirements across the diverse areas of their deployments, which include manufacturing, healthcare, and transportation. Opportunistic mobile social networks exhibit emergent properties which can be utilised to help address the demands. In our research we are exploring a novel collaborative, predictive, cross-layer approach for real-time, localised, predictive decision making so as to adaptively balance the multiple complex dynamic trade-offs, such as in resources, security, and privacy whilst meeting multi-service requirements.