BottleNet: Hiding Network Bottlenecks Using SDN-Based Topology Deception

摘要: The robustness of a network’s connectivity to other networks is often highly dependent on few critical nodes and links that tie the network larger topology. failure or degradation such bottlenecks can result in outages may propagate throughout network. Unfortunately, presence also offers opportunities for targeted link flooding attacks (LFAs) . Researchers have proposed new promising defense counter LFAs, referred as topology deception This strategy centers hindering discovery by presenting false trace responses adversaries they perform topological probing target Even though goal obscuring links, node dependencies be exploited an adversary. However, current approaches do not consider wide range metrics reveal important diverse aspects bottlenecks. Furthermore, existing create simple form virtual topology, which subject relatively easy detection adversary, reducing its effectiveness. In this paper, we propose comprehensive framework, refer BottleNet. Our suggested approach analyze various features both with respect static dynamic then use information identify bottlenecks, finally producing complex topologies are resilient adversarial detection.