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

机会主义网络是由异质节点(如自动驾驶汽车、家用电器、智能手机)组成的大规模、多属性、易断连、分布式和分散化的网络。这些环境带来了多种挑战，为了满足其部署的不同领域(包括制造、医疗保健和运输)的服务需求，必须应对这些挑战。机会主义的移动社交网络展示了可以用来帮助解决需求的新特性。在我们的研究中，我们正在探索一种新的协作性、预测性、跨层方法，用于实时、局部、预测性决策，以便自适应地平衡多种复杂的动态权衡，例如在资源、安全和隐私方面，同时满足多服务需求。

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.