On the vulnerability of multi-level communication network under catastrophic events
On the vulnerability of multi-level communication network under catastrophic events
复制标题
灾难事件下多级通信网络的脆弱性研究
DOI：
10.1109/iccnc.2017.7876254
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
M. Hayat
中科院分区：
文献类型：
--
作者：
Pankaz Das;M. Rahnamay;N. Ghani;M. Hayat
众所周知，通信网络和电网等各种网络物理基础设施容易受到从自然灾害到大规模杀伤性武器和高空电磁脉冲等故意攻击等大规模压力源的影响。这些事件引发的压力可能会对网络基础设施的关键组件造成损害。本文建立了一个通用的概率模型，用于评估通信网络在各种灾难性事件下的脆弱性。提出了一种多层可扩展的网络框架，以捕获基础设施中各种通信网络之间的相互依赖关系。对于给定的大尺度应力源，先独立计算各网络构件的初始失效概率，然后考虑其所依赖构件的失效概率。这样就可以对网络组件之间的共享故障进行建模。对三层网络模型进行了详细的仿真，并计算了包括网络总容量、最大流量和节点故障数在内的关键网络性能指标。这项工作为大规模压力事件下关键通信网络的可靠性建模和评估铺平了道路。
Various cyber-physical infrastructures such as communication networks and power grids are known to be vulnerable to large-scale stressors ranging from natural disasters to intentional attacks such as those effected by weapons of mass destruction and high-altitude electromagnetic pulses. The stresses instigated by these events can cause damage to critical components of the network infrastructure. In this paper, a general probabilistic model is developed for assessing the vulnerability of a communication network under various catastrophic events. A multi-level scalable network framework is proposed to capture the inter-dependencies across various communication networks in the infrastructure. For a given large-scale stressor, the initial-failure probability of each network component is formulated independently and then by taking into account the failure of the components that it depends upon. This enables the modeling of a shared failure among network components. Detailed simulations of a three-level network model are performed and key network-performance metrics are computed including the total network capacity, the maximum flow and the number of node failures. This work paves the way to model and evaluate the reliability of critical communication networks under massive stressor events.
影响因子：
35.6
作者：
H. Haddadi;M. Rio;G. Iannaccone;A. Moore;R. Mortier
通讯作者：
H. Haddadi;M. Rio;G. Iannaccone;A. Moore;R. Mortier