在物联网战场(IoBT)中为关键信息传播设计安全且可重新配置的多层网络
On the Secure and Reconfigurable Multi-Layer Network Design for Critical Information Dissemination in the Internet of Battlefield Things (IoBT)
AI总结:
本文研究了在物联网战场(IoBT)中为关键信息传播设计安全且可重新配置的多层网络,通过随机几何学和数学流行病学理论,提出了一种框架来量化异构网络设备间的信息传播,并建立了一个可解决的优化问题,帮助指挥官以低成本规划和重新配置网络以适应变化的任务需求。
摘要:
物联网(IoT)正在革新自动化系统的管理和控制,从而在智能家居、智慧城市、医疗保健、交通等领域引发范式转变。IoT技术也预计将在战场上的军事行动中发挥重要作用。战斗设备和其他战场资源之间的互联,用于协调自动化决策,被称为物联网战场(IoBT)。IoBT网络与传统IoT网络有显著不同,因为战场特定的挑战,如通信基础设施的缺失、设备的异构性和对网络空间攻击的易受性。战争场景中的战斗效率和协调决策高度依赖于实时数据收集,这又取决于网络连通性和在对手存在下的信息传播。本文旨在建立设计安全且可重新配置的IoBT网络的理论基础。利用随机几何学和数学流行病学的理论,我们开发了一个综合框架,以量化异构网络设备间的信息传播。因此,建立了一个可解决的优化问题,以帮助指挥官以低成本规划网络并根据变化的任务需求重新配置网络。
英文摘要:
The Internet of things (IoT) is revolutionizing the management and control of automated systems leading to a paradigm shift in areas such as smart homes, smart cities, health care, transportation, etc. The IoT technology is also envisioned to play an important role in improving the effectiveness of military operations in battlefields. The interconnection of combat equipment and other battlefield resources for coordinated automated decisions is referred to as the Internet of battlefield things (IoBT). IoBT networks are significantly different from traditional IoT networks due to battlefield specific challenges such as the absence of communication infrastructure, heterogeneity of devices, and susceptibility to cyber-physical attacks. The combat efficiency and coordinated decision-making in war scenarios depends highly on real-time data collection, which in turn relies on the connectivity of the network and information dissemination in the presence of adversaries. This work aims to build the theoretical foundations of designing secure and reconfigurable IoBT networks. Leveraging the theories of stochastic geometry and mathematical epidemiology, we develop an integrated framework to quantify the information dissemination among heterogeneous network devices. Consequently, a tractable optimization problem is formulated that can assist commanders in cost effectively planning the network and reconfiguring it according to the changing mission requirements.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。