Quantifying the Impact of Efficient Cross-Layer Jamming Attacks Via Network Traffic Flows
The authors investigate a class of coordinated jamming attacks in which multiple jammers collaboratively apply knowledge about the network layer functionality to efficiently reduce the throughput of network traffic. They show how a constrained optimization framework can be used to characterize coordinated jamming attacks and allow the impact of the attack to be quantified from the perspective of the network. Using this network-centric interpretation of jamming attacks, a network designer can attain a greater understanding of the potential threat of jamming. To illustrate their approach, they propose and evaluate a variety of metrics to model the attack impact, serving both as adversarial objective functions and as network evaluation metrics, and present a simulation study to quantify and compare attack performance.