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Betweenness estimation in OLSR-based multi-hop networks for distributed filtering

机译:基于OLSR的多跳网络中的中间性估计用于分布式过滤

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摘要

In traditional networks special efforts are put to secure the perimeter with firewalls: particular routers that analyze and filter the traffic to separate zones with different levels of trust. In wireless multi-hop networks the perimeter is a concept extremely hard to identify, thus, it is much more effective to enforce control on the nodes that will route more traffic. But traffic filtering and traffic analysis are costly activities for the limited resources of mesh nodes, so a trade-off must be reached limiting the number of nodes that enforce them. This work shows how, using the OLSR protocol, the centrality of groups of nodes with reference to traffic can be estimated with high accuracy independently of the network topology or size. We also show how this approach greatly limits the impact of an attack to the network using a number of firewalls that is only a fraction of the available nodes.
机译:在传统网络中,要特别努力地使用防火墙保护外围设备:分析和过滤流量到具有不同信任级别的单独区域的特定路由器。在无线多跳网络中,边界是一个很难识别的概念,因此,在将路由更多流量的节点上实施控制要有效得多。但是,对于网状节点的有限资源而言,流量过滤和流量分析是昂贵的活动,因此必须权衡取舍,以限制强制实施它们的节点数量。这项工作表明,如何使用OLSR协议,可以独立于网络拓扑或规模,高精度地估计节点组相对于流量的中心性。我们还展示了这种方法如何使用大量防火墙(仅占可用节点的一小部分)极大地限制了攻击对网络的影响。

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